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We describe visual classification by a hierarchy of semantic fragments. In fragment-based classification, objects within a class are represented by common sub-structures selected during training. Here we propose two extensions to the basic fragment-based scheme. The first extension is the extraction and use of feature hierarchies. We describe a method that automatically constructs complete feature hierarchies from image examples, and show that features constructed hierarchically are significantly more informative and better for classification compared with similar non-hierarchical features. The second extension is the use of so-called semantic fragments to represent object parts. The goal of a semantic fragment is to represent the different possible appearances of a given object part. The visual appearance of such object parts can differ substantially, and therefore traditional image similarity-based methods are inappropriate for the task. We show how the method can automatically learn the part structure of a new domain, identify the main parts, and how their appearance changes across objects in the class. We discuss the implications of these extensions to object classification and recognition. Joint work with Prof. Shimon Ullman. ©2006 Microsoft Corporation. All rights reserved.

quora-insincere-questions-classification test data for educational purpose Credits: https://www.kaggle.com/c/quora-insincere-questions-classification/

Well we're back, and in true aussie fashion we are fucking late. Oh well, I'm sure our one fan will be consoled by the fact that this may possibly be our most Australian podcast yet, if only for the mention of Stack Hats. If you don't know what they are you led a deprived and sad life. Anyways, on with the show! Shit we talk about: - STACKHATS!! - We love old school games - Silent Hill Homecoming, it aint no 5 - Sam and Max = God - Scratch that, Mike Patton = God - Duke Forever, RIP - Ahhhh, [url=http://gamingisstupid.com/2009/05/06/the-chair-story-revival/]that chair story[/url]. - We get pissy about Ghostbusters, then at eachother - Where the fuck is our MvC2 demo? - The RC Spotlight: Tits in games. Seriously. - Dillinger Drops his phone number again. Somebody call the bastard. - Listener questions yaaaaayyyy! - AnimuCast! - I know too much about Luchadores Intro Music: Bionic Commando: Rearmed OST - Power Plant Break Music: Selkies the endless obsessions - Between The Buried And Me. 8Bit Version by [url=http://www.youtube.com/user/xTwilightxxPrincessx]xtwilightxxprincessx[/url] Outro Music: Bulb - Illustrated 8 Test

Well we're back, and in true aussie fashion we are fucking late. Oh well, I'm sure our one fan will be consoled by the fact that this may possibly be our most Australian podcast yet, if only for the mention of Stack Hats. If you don't know what they are you led a deprived and sad life. Anyways, on with the show! Shit we talk about: - STACKHATS!! - We love old school games - Silent Hill Homecoming, it aint no 5 - Sam and Max = God - Scratch that, Mike Patton = God - Duke Forever, RIP - Ahhhh, [url=http://gamingisstupid.com/2009/05/06/the-chair-story-revival/]that chair story[/url]. - We get pissy about Ghostbusters, then at eachother - Where the fuck is our MvC2 demo? - The RC Spotlight: Tits in games. Seriously. - Dillinger Drops his phone number again. Somebody call the bastard. - Listener questions yaaaaayyyy! - AnimuCast! - I know too much about Luchadores Intro Music: Bionic Commando: Rearmed OST - Power Plant Break Music: Selkies the endless obsessions - Between The Buried And Me. 8Bit Version by [url=http://www.youtube.com/user/xTwilightxxPrincessx]xtwilightxxprincessx[/url] Outro Music: Bulb - Illustrated 8 Test

Class 2C. Tree Selection. Keen Ponderosa Pine Tree Classification. Photo by: F.P. Keen Date: September 1934 Credit: USDA Forest Service, Pacific Northwest Region, State and Private Forestry, Forest Health Protection. Collection: Bureau of Entomology Collection; La Grande, Oregon. Image: BUR-8712 To learn more about this photo collection see: Wickman, B.E., Torgersen, T.R. and Furniss, M.M. 2002. Photographic images and history of forest insect investigations on the Pacific Slope, 1903-1953. Part 2. Oregon and Washington. American Entomologist, 48(3), p. 178-185. Image provided by USDA Forest Service, Pacific Northwest Region, State and Private Forestry, Forest Health Protection: www.fs.usda.gov/main/r6/forest-grasslandhealth The following information about the Keen Classification system is excerpted from Wickman, Boyd E. 2005. Harry E. Burke and John M. Miller, pioneers in Western forest entomology. Gen. Tech. Rep. PNW-GTR-638. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 163 p.: "Keen’s research on tree classification continued in Oregon and was called the “Keen Ponderosa Pine Tree Classification.” The Salman-Bongberg approach was called the “California Pine Risk-Rating System.” Both systems evolved from research on tree susceptibility to bark beetle attack that had been conducted in the 1920s by Miller, Keen, Patterson, Person, and Struble. Tree growth rates were a particularly important area of the studies, with Miller and Person proposing that slower growing mature ponderosa pine were more susceptible to attack by the western pine beetle than younger more vigorous trees (Smith et al. 1981). The rating systems resulted in a silvicultural approach to managing the western pine beetle instead of the direct control method of felling infested trees, then peeling and burning the bark. This was a breakthrough for forest managers that allowed them to capture the economic value of susceptible trees before they were killed by bark beetles, and at the same time resulted in decreased beetle populations or at least seemed to prevent outbreaks. The Salman- Bongberg California risk-rating system identified susceptible trees by assigning penalty points to crown and stem characteristics of a tree. This was followed up by a logging practice called sanitation salvage (Smith et al. 1981). The Keen system, involved four classes based on age and four vigor classes within each age class. It was oriented more toward identifying the susceptibility of individual trees to insect attack. Keen also assigned penalty points in his system. It was slightly more complex to use and was not directly tied to the sanitation salvage concept, but a certain level of logging of susceptible trees was generally followed. Keen’s classification was more widely used in ponderosa pine stands of eastern Oregon, and the California system was used for both ponderosa pine and Jeffrey pine stands in eastern California." For more, see: www.fs.fed.us/pnw/publications/pnw_gtr638/ For more about Keen's classifications see: www.fs.fed.us/psw/publications/ecology_of.../psw_1943_kee...

Class 2C. Tree Selection. Keen Ponderosa Pine Tree Classification. Photo by: F.P. Keen Date: September 1934 Credit: USDA Forest Service, Pacific Northwest Region, State and Private Forestry, Forest Health Protection. Collection: Bureau of Entomology Collection; La Grande, Oregon. Image: BUR-8712 To learn more about this photo collection see: Wickman, B.E., Torgersen, T.R. and Furniss, M.M. 2002. Photographic images and history of forest insect investigations on the Pacific Slope, 1903-1953. Part 2. Oregon and Washington. American Entomologist, 48(3), p. 178-185. Image provided by USDA Forest Service, Pacific Northwest Region, State and Private Forestry, Forest Health Protection: www.fs.usda.gov/main/r6/forest-grasslandhealth The following information about the Keen Classification system is excerpted from Wickman, Boyd E. 2005. Harry E. Burke and John M. Miller, pioneers in Western forest entomology. Gen. Tech. Rep. PNW-GTR-638. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 163 p.: "Keen’s research on tree classification continued in Oregon and was called the “Keen Ponderosa Pine Tree Classification.” The Salman-Bongberg approach was called the “California Pine Risk-Rating System.” Both systems evolved from research on tree susceptibility to bark beetle attack that had been conducted in the 1920s by Miller, Keen, Patterson, Person, and Struble. Tree growth rates were a particularly important area of the studies, with Miller and Person proposing that slower growing mature ponderosa pine were more susceptible to attack by the western pine beetle than younger more vigorous trees (Smith et al. 1981). The rating systems resulted in a silvicultural approach to managing the western pine beetle instead of the direct control method of felling infested trees, then peeling and burning the bark. This was a breakthrough for forest managers that allowed them to capture the economic value of susceptible trees before they were killed by bark beetles, and at the same time resulted in decreased beetle populations or at least seemed to prevent outbreaks. The Salman- Bongberg California risk-rating system identified susceptible trees by assigning penalty points to crown and stem characteristics of a tree. This was followed up by a logging practice called sanitation salvage (Smith et al. 1981). The Keen system, involved four classes based on age and four vigor classes within each age class. It was oriented more toward identifying the susceptibility of individual trees to insect attack. Keen also assigned penalty points in his system. It was slightly more complex to use and was not directly tied to the sanitation salvage concept, but a certain level of logging of susceptible trees was generally followed. Keen’s classification was more widely used in ponderosa pine stands of eastern Oregon, and the California system was used for both ponderosa pine and Jeffrey pine stands in eastern California." For more, see: www.fs.fed.us/pnw/publications/pnw_gtr638/ For more about Keen's classifications see: www.fs.fed.us/psw/publications/ecology_of.../psw_1943_kee...

Class 2C. Tree Selection. Keen Ponderosa Pine Tree Classification. Photo by: F.P. Keen Date: September 1934 Credit: USDA Forest Service, Pacific Northwest Region, State and Private Forestry, Forest Health Protection. Collection: Bureau of Entomology Collection; La Grande, Oregon. Image: BUR-8712 To learn more about this photo collection see: Wickman, B.E., Torgersen, T.R. and Furniss, M.M. 2002. Photographic images and history of forest insect investigations on the Pacific Slope, 1903-1953. Part 2. Oregon and Washington. American Entomologist, 48(3), p. 178-185. Image provided by USDA Forest Service, Pacific Northwest Region, State and Private Forestry, Forest Health Protection: www.fs.usda.gov/main/r6/forest-grasslandhealth The following information about the Keen Classification system is excerpted from Wickman, Boyd E. 2005. Harry E. Burke and John M. Miller, pioneers in Western forest entomology. Gen. Tech. Rep. PNW-GTR-638. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 163 p.: "Keen’s research on tree classification continued in Oregon and was called the “Keen Ponderosa Pine Tree Classification.” The Salman-Bongberg approach was called the “California Pine Risk-Rating System.” Both systems evolved from research on tree susceptibility to bark beetle attack that had been conducted in the 1920s by Miller, Keen, Patterson, Person, and Struble. Tree growth rates were a particularly important area of the studies, with Miller and Person proposing that slower growing mature ponderosa pine were more susceptible to attack by the western pine beetle than younger more vigorous trees (Smith et al. 1981). The rating systems resulted in a silvicultural approach to managing the western pine beetle instead of the direct control method of felling infested trees, then peeling and burning the bark. This was a breakthrough for forest managers that allowed them to capture the economic value of susceptible trees before they were killed by bark beetles, and at the same time resulted in decreased beetle populations or at least seemed to prevent outbreaks. The Salman- Bongberg California risk-rating system identified susceptible trees by assigning penalty points to crown and stem characteristics of a tree. This was followed up by a logging practice called sanitation salvage (Smith et al. 1981). The Keen system, involved four classes based on age and four vigor classes within each age class. It was oriented more toward identifying the susceptibility of individual trees to insect attack. Keen also assigned penalty points in his system. It was slightly more complex to use and was not directly tied to the sanitation salvage concept, but a certain level of logging of susceptible trees was generally followed. Keen’s classification was more widely used in ponderosa pine stands of eastern Oregon, and the California system was used for both ponderosa pine and Jeffrey pine stands in eastern California." For more, see: www.fs.fed.us/pnw/publications/pnw_gtr638/ For more about Keen's classifications see: www.fs.fed.us/psw/publications/ecology_of.../psw_1943_kee...

Class 2C. Tree Selection. Keen Ponderosa Pine Tree Classification. Photo by: F.P. Keen Date: September 1934 Credit: USDA Forest Service, Pacific Northwest Region, State and Private Forestry, Forest Health Protection. Collection: Bureau of Entomology Collection; La Grande, Oregon. Image: BUR-8712 To learn more about this photo collection see: Wickman, B.E., Torgersen, T.R. and Furniss, M.M. 2002. Photographic images and history of forest insect investigations on the Pacific Slope, 1903-1953. Part 2. Oregon and Washington. American Entomologist, 48(3), p. 178-185. Image provided by USDA Forest Service, Pacific Northwest Region, State and Private Forestry, Forest Health Protection: www.fs.usda.gov/main/r6/forest-grasslandhealth The following information about the Keen Classification system is excerpted from Wickman, Boyd E. 2005. Harry E. Burke and John M. Miller, pioneers in Western forest entomology. Gen. Tech. Rep. PNW-GTR-638. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 163 p.: "Keen’s research on tree classification continued in Oregon and was called the “Keen Ponderosa Pine Tree Classification.” The Salman-Bongberg approach was called the “California Pine Risk-Rating System.” Both systems evolved from research on tree susceptibility to bark beetle attack that had been conducted in the 1920s by Miller, Keen, Patterson, Person, and Struble. Tree growth rates were a particularly important area of the studies, with Miller and Person proposing that slower growing mature ponderosa pine were more susceptible to attack by the western pine beetle than younger more vigorous trees (Smith et al. 1981). The rating systems resulted in a silvicultural approach to managing the western pine beetle instead of the direct control method of felling infested trees, then peeling and burning the bark. This was a breakthrough for forest managers that allowed them to capture the economic value of susceptible trees before they were killed by bark beetles, and at the same time resulted in decreased beetle populations or at least seemed to prevent outbreaks. The Salman- Bongberg California risk-rating system identified susceptible trees by assigning penalty points to crown and stem characteristics of a tree. This was followed up by a logging practice called sanitation salvage (Smith et al. 1981). The Keen system, involved four classes based on age and four vigor classes within each age class. It was oriented more toward identifying the susceptibility of individual trees to insect attack. Keen also assigned penalty points in his system. It was slightly more complex to use and was not directly tied to the sanitation salvage concept, but a certain level of logging of susceptible trees was generally followed. Keen’s classification was more widely used in ponderosa pine stands of eastern Oregon, and the California system was used for both ponderosa pine and Jeffrey pine stands in eastern California." For more, see: www.fs.fed.us/pnw/publications/pnw_gtr638/ For more about Keen's classifications see: www.fs.fed.us/psw/publications/ecology_of.../psw_1943_kee...

109p. ; 24 cm

Map 2. Intensity of Blowdown in Areas Covered by The Survey. Classification is based on approximate number of acres per square mile on which 10% or more of the stand is recent blowdown. The data have been generalized for minimum areas of about 3,500 acres from 1"-per-mile scale maps. Map is from: Summary Statement on the 1952 Blowdown-Bark-Beetle Survey in the Douglas-fir Region of Oregon and Washington. Prepared by: Pacific Northwest Forest and Range Experiment Station, US Forest Service; and Portland Forest Insect Laboratory, Bureau of Entomology and Plant Quarantine. Portland, Oregon. 7 pages. Photo by: Unknown Map creation date: 1952 Credit: USDA Forest Service, Region 6, State and Private Forestry, Forest Health Protection. Source: Aerial Survey Program digital collection. Image provided by USDA Forest Service, Region 6, State and Private Forestry, Forest Health Protection: www.fs.usda.gov/main/r6/forest-grasslandhealth

Map 2. Intensity of Blowdown in Areas Covered by The Survey. Classification is based on approximate number of acres per square mile on which 10% or more of the stand is recent blowdown. The data have been generalized for minimum areas of about 3,500 acres from 1"-per-mile scale maps. Map is from: Summary Statement on the 1952 Blowdown-Bark-Beetle Survey in the Douglas-fir Region of Oregon and Washington. Prepared by: Pacific Northwest Forest and Range Experiment Station, US Forest Service; and Portland Forest Insect Laboratory, Bureau of Entomology and Plant Quarantine. Portland, Oregon. 7 pages. Photo by: Unknown Map creation date: 1952 Credit: USDA Forest Service, Region 6, State and Private Forestry, Forest Health Protection. Source: Aerial Survey Program digital collection. Image provided by USDA Forest Service, Region 6, State and Private Forestry, Forest Health Protection: www.fs.usda.gov/main/r6/forest-grasslandhealth

Approved For Rise 2002/01/ . IA-RDP79-01154AOQaZ00100001-7 25X1A9A . Attacbed i nm~ps used in the folic. .712A,VL'I 'V Savvt (pOu4rs) Dimter of is Int 5X1A 25X1A9A ralGROUP t Ap C ~OP7 - 1154A000200100 4d tram automatic dtu and

Approved For Release 2001/07/28 :CIA- P78-0~7~A'0'0200039000b"""J DDS : LKW : Iaq DiatriUutions 08c1 -Addressee :. __,. .._ ~af~i f:~. --_--~---~1~ ----------- hla C!~$ ,, ~ Ci~s~~ [~ , I'lBlii~S~l:le CIaSS. Chfi~1g13d tb~ Next Iia~~~Vt ~~t~4 -~ti~:~~~.-~.~ Aut~.c ~~= {~ 11 ; a~9 Date. m-________~~_~_~~

Karnataka Legislative Assembly Debates - Book 728, Pages 193-194

Karnataka Legislative Assembly Debates - Book 728, Pages 193-194

Approved For Release 2003/01/27: CIA-RDP80-018268800040017-6 25X1 I NOTI 25X1 NO,. CE ; 1957 6 LANGUAGE D EVE AY'k '' PR : I Jan=r 1 C,LASSIFICATI OF LANGUAGES FOR AWARD PUR?CSFS le CLA-ss -lx T1'0N OF LANGUAGES 25X1 In accordance with the following la.g ,gen are earned to Groups II, and Ill effective 1 Obrt a y 2957. Language Grp I language Group 11 LPnguage Geouap III Danish Al *a nian -it Ch Amhari Freer h Arabia Gen Bulgarian I46'^.1. Fa#htu Persian Polish Chin.aae Jap- rae' e Korean Greek Durmqae Ita,l.i Cambodian Sorwegian Czech Portuguestt Spanish Hindi Swedish Hungarian Icelandic Indonesian Rumanian Russian Serbo-Croatian. Swahili Thai Tibetan Turkish Urdu Ma' Vietnamese 2., UNLISTED LANGUAGES Ag Agency needs arise for personnel skilled in lan uagea other th n those libtc . in. Groups 1, 11, and III aboxvet such lang geg iveAl be add to the appropriatle group. Thie; notice and n,vision: thereto will identify the la ng gee , tho ;:,', td-yg= of which the Agency encourages by the pa ent of awards. FOR THE DIL TOR OF C.TRAL M LI CE; L. X. WHITE Deputy Director (Support) Approved For Release 2003/01/27 : CIA-RDP80-01826R000800040017-6

Sanitized Copy Approved for Release 2010/11/29: CIA-RDP57-00011 A001000020004-0 o at 6 24 Dasweps 195 11v11tZT t 1+ s Ch3+orx", 7iss.1 A rlattae 'A -t- wewat Zi r &U t 5-l0QIr (Objaat Clrruad!'1+eastt 09.0) 1. 11m . l ma a . d 1 sera do* 1a ids aaoeeaet ,0t .18 t er rm w at As tmpm$ of Iasad Ae 1*. dst M 9 Daawr r 199, 1" W. tle Irri t heel hi t Anna, plan am srt Ids =ielr~ellplyd a s SAO 0 2. 0s aeee MA aced la AS IIII I Is avast aat tle do* aloud it allan34 be &*A 36 ~r 2 WO i t d~raee^iorlelisdrlaa 1a eawrvi3aa- aith tits a~saritl+ad ti~iarsawtlae is asst tl3ai let as at as lr.j - re . lw#~er It attaa t~s sltpp" t mw ss girds 1s . stsii a $ erer~ridrer .j d tp- dear Dtrsotssr dafisd 2 :OWN" 1955? 6. This ais* A r i t a a P a . " pr 880-pmt aroei

Sanitized Copy Approved for Release 2010/11/30: CIA-RDP57-00011 A001000030054-4 -r ! -).: c1 FUM1 Di! SAM Im 3M c S ao~t 5 U jwuwy x956 5-moe tit 2. It IA kindly rsau i that a '3. S. may dia in of .'6,915.93 be ~ In faww of C"4 i CO. to r oontmt amber w d the was andmm a r on the *be*. 2. Pertinent doemeentAtIon in motion with this +alsastfi+ed action is o n file in t h e + t ` f i s s o f t h e F r o j a c t C t . 4. The p ra ss*ed Is to date and is to b?a ached for to the this di trsammat mild be charge4 to titled ".A " d rmds Diabureed t#.=a1 for C The &Uott dwTQ*bI* is 5. rxa~C (07.9). 5. Th d r a b .d cat 13 JSMWY 29%1 a Wh4a it hss b M. Wit, loam *aa #. the *Lgned *i * MM* Distributions 3 4 -5 - Chrono msir/a Sanitized Copy Approved for Release 2010/11/30: CIA-RDP57-00011 A001000030054-4

Approved For Release 2001/08/10 : CIA-RDP54-00177A000200070035-7 tel, to '`" JV- that %-W M ( ) .i t moo. doomovtv '*bd . d tat tAl'ham ClAs Mot ", tork wIU dSd-Opc [~(e~ --.Waif IWLj'jjjrjL Approved For Release 2001/08/10 : CIA-RDP54-00177A000200070035-7 OXISUM

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Approved For Releas 002/01/03: CIA-RDP80T01087AOOOSQO10021-0 F-O-R O-F-F-I-C-I-A-L U-S-E O-N-L-Y CODIB-SCC-D-2 20 March 1961. UNITED STATES INTELLIGENCE BOARD C TTTEE ON DOCUIEN PTION Subcommittee on Classification MWMADUM Fes?: Subcommittee on Classification SUBJECT : Proposed Changes - Amendment II to the Revised Intelligences Subject Code dated February 1960 1. The attached changes to the Intelligence.S bject Code are proposed to accommodate the indexing of certain Guided Missile subjects. These changes have been tentatively agreed to by the Air Force and CIA members of the Slab- committee and are submitted for your comments and approval. When approved the changes wilt be incorporated into Amendment II to the Intelligence Subject Code. 2. Please advise the undersigned on by Friday 24 March 1961 of your approval so that the menament can be issued to STATINTL STATINTL Attachment: As stated above Approved For Fe6e se 3012 p11/0 -~C~4 D~8~T~10~7 -C~( 900110021-0

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Approved For Release 2007/07/09: CIA-RDP86-00674R000200050015-0 Approved For Release 2007/07/09: CIA-RDP86-00674R000200050015-0 Approved For Release 2007/07/09: CIA-RDP86-00674R000200050015-0 Approved For Release 2007/07/09: CIA-RDP86-00674R000200050015-0

Approved For Release 2007/07/10: CIA-RDP86-00674R000200090008-4 9 INTERAGENCY CLASSIFICATION REVIEW COMMITTEE WASHINGTON, D.C. 20408 April 19, 1974 MEMORANDUM FOR: ICRC MEMBERS SUBJECT: CLASSIFICATION ABUSE DEFINITION SUBCOMMITTEE RECOMMENDATION The subject subcommittee has agreed to and recommends to the ICRC for approval the following amendment to the definition of a "classification abuse" as that term is used in Attachment #2, Report of Classification Abuses, to the ICRC's February 27, 1973, Letter of Instructions on the quarterly reporting system: "3. Report Basis and Scope. A classification abuse is identified as an unnecessary classification, an over or underclassification, or failure to assign the proper downgrading and declassification schedule; or improper application of classification markings. It specifically applies to placing a document in an exempt declassification category except as provided in the cited Executive Order or NSC Directive. A classification abuse also includes any classification action by an individual not authorized in writing to exercise appropriate classification or exemption authority, or the improper delegation of such. Classification abuses becoming known during the report- ing period as the result of an appropriate Departmental inspec- tion program shall be reported." "3. Report Basis and Scope. The term "classification abuse" means an unnecessary classification, an over or underclassification, a failure to assign the proper downgrading and declassification schedule, an improper application of classification markings, an improper placing of a document in an exempt declassification category, any classification or exemption action taken without proper authority, or an improper delegation of classification authority. A reportable abuse shall mean any of the actions described above except any such action which results exclusively from a decision on a judgmental Approved For Release 2007/07/10: CIA-RDP86-00674R000200090008-4 Approved For Release 2007/07/10: CIA-RDP86-00674R000200090008-4 ? factor as to which there exists a reasonable _and__good faithJ, basis for disagreement. Such abuses becoming known during tie reporting period, including abuses becoming known as the result of an appropriate Departmental inspection program, shall be reported." WILLIAM L. BROWN Executive Director Approved For Release 2007/07/10: CIA-RDP86-00674R000200090008-4 Approved For Release 2007/07/10: CIA-RDP86-00674R000200090008-4 MEMORANDUM FOR: GO Attached is a memorandum of 19 April to ICRC members which was distributed by Bill Brown on Tuesday at the meeting. Action was deferred until the next meeting. Let's discuss at your convenience. STAT 25 April 1974 (DATE) Approved For Release 2007/07/10: CIA-RDP86-00674R000200090008-4

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Approved For Release 2007/12/04: CIA-RDP86B00689R000300120021-2 2 September 1982 MEMORANDUM FOR: FROM: SUBJECT: Chief, Regulations Control Division Information Handling Systems Architect Rescision of the Four Directorate Classification Guides - effective 31 August 1982 The Directorate of Administration Classification Guide issued to this office was Copy No. 550. This guide has now been destroyed. ADMINISTRATIVE - INTERNAL USE ONLY STAT Approved For Release 2007/12/04: CIA-RDP86B00689R000300120021-2

Approved For Release 2007/12/04: CIA-RDP86B00689R000300120021-2 2 September 1982 MEMORANDUM FOR: FROM: SUBJECT: Chief, Regulations Control Division Information Handling Systems Architect Rescision of the Four Directorate Classification Guides - effective 31 August 1982 The Directorate of Administration Classification Guide issued to this office was Copy No. 550. This guide has now been destroyed. ADMINISTRATIVE - INTERNAL USE ONLY STAT Approved For Release 2007/12/04: CIA-RDP86B00689R000300120021-2

Approved For Release 2007/12/04: CIA-RDP86B00689R000300120021-2 2 September 1982 MEMORANDUM FOR: FROM: SUBJECT: Chief, Regulations Control Division Information Handling Systems Architect Rescision of the Four Directorate Classification Guides - effective 31 August 1982 The Directorate of Administration Classification Guide issued to this office was Copy No. 550. This guide has now been destroyed. ADMINISTRATIVE - INTERNAL USE ONLY STAT Approved For Release 2007/12/04: CIA-RDP86B00689R000300120021-2

Approved For Release 2007/12/04: CIA-RDP86B00689R000300120021-2 2 September 1982 MEMORANDUM FOR: FROM: SUBJECT: Chief, Regulations Control Division Information Handling Systems Architect Rescision of the Four Directorate Classification Guides - effective 31 August 1982 The Directorate of Administration Classification Guide issued to this office was Copy No. 550. This guide has now been destroyed. ADMINISTRATIVE - INTERNAL USE ONLY STAT Approved For Release 2007/12/04: CIA-RDP86B00689R000300120021-2

Approved For Release 2007/12/04: CIA-RDP86B00689R000300120021-2 2 September 1982 MEMORANDUM FOR: FROM: SUBJECT: Chief, Regulations Control Division Information Handling Systems Architect Rescision of the Four Directorate Classification Guides - effective 31 August 1982 The Directorate of Administration Classification Guide issued to this office was Copy No. 550. This guide has now been destroyed. ADMINISTRATIVE - INTERNAL USE ONLY STAT Approved For Release 2007/12/04: CIA-RDP86B00689R000300120021-2

Approved For Release 2007/12/04: CIA-RDP86B00689R000300120021-2 2 September 1982 MEMORANDUM FOR: FROM: SUBJECT: Chief, Regulations Control Division Information Handling Systems Architect Rescision of the Four Directorate Classification Guides - effective 31 August 1982 The Directorate of Administration Classification Guide issued to this office was Copy No. 550. This guide has now been destroyed. ADMINISTRATIVE - INTERNAL USE ONLY STAT Approved For Release 2007/12/04: CIA-RDP86B00689R000300120021-2

Colorado Department of Transportation Research Report

Declassified US intelligence documents related to China found in the US National Archives.

'Action Taken on 1st Report of PAC (13th LS) on Union Excise Duties Different Classification for Similar Products (23-Apr-2002)' from the Parliament Digital Library

'Action Taken on 1st Report of PAC (13th LS) on Union Excise Duties Different Classification for Similar Products (23-Apr-2002)' from the Parliament Digital Library

'Action Taken on 1st Report of PAC (13th LS) on Union Excise Duties Different Classification for Similar Products (23-Apr-2002)' from the Parliament Digital Library

'Action Taken on 1st Report of PAC (13th LS) on Union Excise Duties Different Classification for Similar Products (23-Apr-2002)' from the Parliament Digital Library

pages cm

pages cm

Declassified US intelligence documents related to China found in the US National Archives.

Declassified US intelligence documents related to China found in the US National Archives.

Automatic classification and disease detection in medical images, aided by machine learning, provide crucial support to prevent overlooked instances and ensure prompt treatment of diseases. Despite impressive achievements in the field of polyp detection from endoscopic images, classification of other diseases, such as reflux esophagitis, esophageal cancer, gastritis, gastric cancer, and duodenal ulcer, is still subject to significant limitations and remains a challenging area of study because of their different and more challenging characteristics. This paper proposes a method to roughly classify the diseases from the whole images by deep learning. In particular, we focus on identifying hard samples from the training dataset and enriching them with some fundamental augmentation techniques. We then employ a cutting edge model, specifically ResNet, for the final classification stage. Additionally, we enhance the original ResNet’s loss function by incorporating another loss function called focal loss. These modifications play a crucial role in boosting the accuracy of the ResNet model. Our proposed method outputs the disease category and corresponding heat map showing the area of interest. It achieved very promising accuracy (99.55%) for the classification of five lesions on our self-collected dataset. It serves a dual purpose. Firstly, it aids in the training of novice endoscopists, enabling them to gain valuable experience. Secondly, it offers a rapid solution for annotating extensive volumes of endoscopic image data at the label level.

Automatic classification and disease detection in medical images, aided by machine learning, provide crucial support to prevent overlooked instances and ensure prompt treatment of diseases. Despite impressive achievements in the field of polyp detection from endoscopic images, classification of other diseases, such as reflux esophagitis, esophageal cancer, gastritis, gastric cancer, and duodenal ulcer, is still subject to significant limitations and remains a challenging area of study because of their different and more challenging characteristics. This paper proposes a method to roughly classify the diseases from the whole images by deep learning. In particular, we focus on identifying hard samples from the training dataset and enriching them with some fundamental augmentation techniques. We then employ a cutting edge model, specifically ResNet, for the final classification stage. Additionally, we enhance the original ResNet’s loss function by incorporating another loss function called focal loss. These modifications play a crucial role in boosting the accuracy of the ResNet model. Our proposed method outputs the disease category and corresponding heat map showing the area of interest. It achieved very promising accuracy (99.55%) for the classification of five lesions on our self-collected dataset. It serves a dual purpose. Firstly, it aids in the training of novice endoscopists, enabling them to gain valuable experience. Secondly, it offers a rapid solution for annotating extensive volumes of endoscopic image data at the label level.

Tree Selection. Class 4B. Keen Ponderosa Pine Tree Classification. Fremont National Forest, Oregon. Photo by: Ray Filloon Date: June 1939 Credit: USDA Forest Service, Pacific Northwest Region, State and Private Forestry, Forest Health Protection. Collection: Bureau of Entomology, Ray Filloon Collection; La Grande, Oregon. Image: Filloon-371 To learn more about this photo collection see: Wickman, B.E., Torgersen, T.R. and Furniss, M.M. 2002. Photographic images and history of forest insect investigations on the Pacific Slope, 1903-1953. Part 2. Oregon and Washington. American Entomologist, 48(3), p. 178-185. Image provided by USDA Forest Service, Pacific Northwest Region, State and Private Forestry, Forest Health Protection: www.fs.usda.gov/main/r6/forest-grasslandhealth The following information about the Keen Classification system is excerpted from Wickman, Boyd E. 2005. Harry E. Burke and John M. Miller, pioneers in Western forest entomology. Gen. Tech. Rep. PNW-GTR-638. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 163 p.: "Keen’s research on tree classification continued in Oregon and was called the “Keen Ponderosa Pine Tree Classification.” The Salman-Bongberg approach was called the “California Pine Risk-Rating System.” Both systems evolved from research on tree susceptibility to bark beetle attack that had been conducted in the 1920s by Miller, Keen, Patterson, Person, and Struble. Tree growth rates were a particularly important area of the studies, with Miller and Person proposing that slower growing mature ponderosa pine were more susceptible to attack by the western pine beetle than younger more vigorous trees (Smith et al. 1981). The rating systems resulted in a silvicultural approach to managing the western pine beetle instead of the direct control method of felling infested trees, then peeling and burning the bark. This was a breakthrough for forest managers that allowed them to capture the economic value of susceptible trees before they were killed by bark beetles, and at the same time resulted in decreased beetle populations or at least seemed to prevent outbreaks. The Salman- Bongberg California risk-rating system identified susceptible trees by assigning penalty points to crown and stem characteristics of a tree. This was followed up by a logging practice called sanitation salvage (Smith et al. 1981). The Keen system, involved four classes based on age and four vigor classes within each age class. It was oriented more toward identifying the susceptibility of individual trees to insect attack. Keen also assigned penalty points in his system. It was slightly more complex to use and was not directly tied to the sanitation salvage concept, but a certain level of logging of susceptible trees was generally followed. Keen’s classification was more widely used in ponderosa pine stands of eastern Oregon, and the California system was used for both ponderosa pine and Jeffrey pine stands in eastern California." For more, see: www.fs.fed.us/pnw/publications/pnw_gtr638/ For more about Keen's classifications see: www.fs.fed.us/psw/publications/ecology_of.../psw_1943_kee...

Board of Assessors presented on tax classifications at the Select Board meeting on December 3, 2019.

Document from Tamil Nadu Legislative Assembly Digital Archive

VIII, 235 Seiten

VIII, 235 Seiten

"June 1999"