"DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence." - Information and Links:

DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence. - Info and Reading Options

"DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence." and the language of the book is English.


“DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence.” Metadata:

  • Title: ➤  DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence.
  • Author: ➤  
  • Language: English

Edition Identifiers:

  • Internet Archive ID: DTIC_ADA295775

AI-generated Review of “DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence.”:


"DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence." Description:

The Internet Archive:

An indexed-based object recognition system using geometric invariance techniques has been designed, and used to recognize buildings in an image of a military site and for recognizing curved planar objects including gasless. New invariants and indexing techniques for polyhedral and curved objects with repetition or bilateral symmetry and objects with the imaged outline of a surface of revolution have been developed. A method to distinguish projectively equivalent but Euclidean distinct objects in an uncalibrated view has been investigated. A group-theoretic framework for relating quasi-invariants to invariants has been formulated. Computing invariants can be formulated as an algebraic manipulation problem involving variable elimination and solving nonlinear polynomial equations. Based on Dixon's formulation of resultants, new methods for eliminating variables have been developed and implemented. These methods are much faster and superior than other elimination techniques. A branch and prune approach for numerically solving polynomial equations has been developed. A simple algorithm for separating invariant relations among object and image features to compute invariants of object features has been designed. These algorithms can serve as a basis for building an invariant work-bench that would enable researchers to experiment with geometric configurations and investigate their geometric invariants.

Read “DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence.”:

Read “DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence.” by choosing from the options below.

Available Downloads for “DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence.”:

"DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence." is available for download from The Internet Archive in "texts" format, the size of the file-s is: 685.01 Mbs, and the file-s went public at Fri Mar 23 2018.

Legal and Safety Notes

Copyright Disclaimer and Liability Limitation:

A. Automated Content Display
The creation of this page is fully automated. All data, including text, images, and links, is displayed exactly as received from its original source, without any modification, alteration, or verification. We do not claim ownership of, nor assume any responsibility for, the accuracy or legality of this content.

B. Liability Disclaimer for External Content
The files provided below are solely the responsibility of their respective originators. We disclaim any and all liability, whether direct or indirect, for the content, accuracy, legality, or any other aspect of these files. By using this website, you acknowledge that we have no control over, nor endorse, the content hosted by external sources.

C. Inquiries and Disputes
For any inquiries, concerns, or issues related to the content displayed, including potential copyright claims, please contact the original source or provider of the files directly. We are not responsible for resolving any content-related disputes or claims of intellectual property infringement.

D. No Copyright Ownership
We do not claim ownership of any intellectual property contained in the files or data displayed on this website. All copyrights, trademarks, and other intellectual property rights remain the sole property of their respective owners. If you believe that content displayed on this website infringes upon your intellectual property rights, please contact the original content provider directly.

E. Fair Use Notice
Some content displayed on this website may fall under the "fair use" provisions of copyright law for purposes such as commentary, criticism, news reporting, research, or educational purposes. If you believe any content violates fair use guidelines, please reach out directly to the original source of the content for resolution.

Virus Scanning for Your Peace of Mind:

The files provided below have already been scanned for viruses by their original source. However, if you’d like to double-check before downloading, you can easily scan them yourself using the following steps:

How to scan a direct download link for viruses:

  • 1- Copy the direct link to the file you want to download (don’t open it yet).
    • (a free online tool) and paste the direct link into the provided field to start the scan.
  • 2- Visit VirusTotal (a free online tool) and paste the direct link into the provided field to start the scan.
  • 3- VirusTotal will scan the file using multiple antivirus vendors to detect any potential threats.
  • 4- Once the scan confirms the file is safe, you can proceed to download it with confidence and enjoy your content.

Available Downloads

  • Source: Internet Archive
  • Internet Archive Link: Archive.org page
  • All Files are Available: Yes
  • Number of Files: 17
  • Number of Available Files: 17
  • Added Date: 2018-03-23 11:58:09
  • PPI (Pixels Per Inch): 600

Available Files:

1- Image Container PDF

  • File origin: original
  • File Format: Image Container PDF
  • File Size: 0.03 Mbs
  • File Name: DTIC_ADA295775.pdf
  • Direct Link: Click here

2- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA295775_files.xml
  • Direct Link: Click here

3- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA295775_meta.sqlite
  • Direct Link: Click here

4- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA295775_meta.xml
  • Direct Link: Click here

5- Item Tile

  • File origin: original
  • File Format: Item Tile
  • File Size: 0.00 Mbs
  • File Name: __ia_thumb.jpg
  • Direct Link: Click here

6- Abbyy GZ

  • File origin: derivative
  • File Format: Abbyy GZ
  • File Size: 0.02 Mbs
  • File Name: DTIC_ADA295775_abbyy.gz
  • Direct Link: Click here

7- chOCR

  • File origin: derivative
  • File Format: chOCR
  • File Size: 0.01 Mbs
  • File Name: DTIC_ADA295775_chocr.html.gz
  • Direct Link: Click here

8- DjVuTXT

  • File origin: derivative
  • File Format: DjVuTXT
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA295775_djvu.txt
  • Direct Link: Click here

9- Djvu XML

  • File origin: derivative
  • File Format: Djvu XML
  • File Size: 0.01 Mbs
  • File Name: DTIC_ADA295775_djvu.xml
  • Direct Link: Click here

10- hOCR

  • File origin: derivative
  • File Format: hOCR
  • File Size: 0.03 Mbs
  • File Name: DTIC_ADA295775_hocr.html
  • Direct Link: Click here

11- OCR Page Index

  • File origin: derivative
  • File Format: OCR Page Index
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA295775_hocr_pageindex.json.gz
  • Direct Link: Click here

12- OCR Search Text

  • File origin: derivative
  • File Format: OCR Search Text
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA295775_hocr_searchtext.txt.gz
  • Direct Link: Click here

13- Single Page Processed JP2 ZIP

  • File origin: derivative
  • File Format: Single Page Processed JP2 ZIP
  • File Size: 0.51 Mbs
  • File Name: DTIC_ADA295775_jp2.zip
  • Direct Link: Click here

14- Page Numbers JSON

  • File origin: derivative
  • File Format: Page Numbers JSON
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA295775_page_numbers.json
  • Direct Link: Click here

15- Scandata

  • File origin: derivative
  • File Format: Scandata
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA295775_scandata.xml
  • Direct Link: Click here

16- Additional Text PDF

  • File origin: derivative
  • File Format: Additional Text PDF
  • File Size: 0.06 Mbs
  • File Name: DTIC_ADA295775_text.pdf
  • Direct Link: Click here

17- Archive BitTorrent

  • File origin: metadata
  • File Format: Archive BitTorrent
  • File Size: 0.00 Mbs
  • File Name: DTIC_ADA295775_archive.torrent
  • Direct Link: Click here

Search for “DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence.” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence.” in Libraries Near You:

Read or borrow “DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence.” from your local library.

Buy “DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence.” online:

Shop for “DTIC ADA295775: Integration Of Symbolic And Numerical Methods And Their Applications In Artificial Intelligence.” on popular online marketplaces.