All Categories : Bookmark and Share

Title : OBJECT-SPECIFIC FEATURE EXTRACTION VIA MARKOV RANDOM FIELDS DERIVED FROM 0TH-ORDER SIGMA-TREE SEGMENTATIONS
Company : Georgia Institute of Technology
File Name : AliKhan.pdf
Size : 467795
Type : application/pdf
Date : 08-May-2010
Downloads : 6

Rate This File
5 Stars
4 Stars
3 Stars
2 Stars
1 Star

Featured Paper by

Syed Irteza Ali Khan and Christopher F. Barnes

Sigma-Trees associated with residual vector quantization (RVQ) has been used for image-driven data mining to detect features and objects in a digital image with a degree of success. RVQ methods based on σ-tree structures have been designed to implement successive refinement of information for image segmentation. In such implementations, RVQ based novel methods are devised for pixel-block mining, pattern similarity scoring, class label assignments and attribute mining (Barnes, 2007a). Direct sum σ-tree structures are used for near-neighbor similarity scoring. The variable bit-plane data representations produced by σ-tree structures not only provides an approach for image content segmentation and a structure for formulation of Bayesian classification, but also offers a solution to the challenge of high computational costs involved in pixel-block similarity searching.
User Reviews More Reviews Review This File


Featured Video
Jobs
GIS Analyst II for Air Worldwide at Boston, MA
Business Partner Manager for Cityworks - Azteca Systems, LLC at Sandy, UT
Senior Structural Engineer for Design Everest at San Francisco, CA
Mechanical Engineer for IDEX Corporation at West Jordan,, UT
Upcoming Events
RoboUniverse San Diego at San Diego CA - Dec 14 - 15, 2016
DGI 2017 at QEII Centre London United Kingdom - Jan 23 - 25, 2017
Geospatial World Forum 2017 Hyderabad at Hyderabad International Convention Center P.O Bag 1101, Cyberabad Post Office Hyderabad Telangana India - Jan 23 - 25, 2017
Trimble
CADalog.com - Countless CAD add-ons, plug-ins and more.



Internet Business Systems © 2016 Internet Business Systems, Inc.
595 Millich Dr., Suite 216, Campbell, CA 95008
+1 (408)-337-6870 — Contact Us, or visit our other sites:
AECCafe - Architectural Design and Engineering EDACafe - Electronic Design Automation TechJobsCafe - Technical Jobs and Resumes  MCADCafe - Mechanical Design and Engineering ShareCG - Share Computer Graphic (CG) Animation, 3D Art and 3D Models
  Privacy Policy