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Feature recognition
Results: 683

#	Item
491	Sign Classification using Local and Meta-Features Marwan A. Mattar, Allen R. Hanson, and Erik G. Learned-Miller Computer Vision Laboratory Department of Computer Science University of Massachusetts Amherst, MA[removed]USA Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:22 Artificial intelligence Object recognition Shape context Feature Statistical classification Scale-invariant feature transform Boosting methods for object categorization Computer vision Vision Imaging
492	Joint Feature Selection for Object Detection and Recognition Jerod J. Weinman, Allen Hanson, and Erik Learned-Miller {weinman,hanson,elm}@cs.umass.edu Department of Computer Science University of Massachusetts-Amherst Am Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:37 Artificial intelligence Image processing Machine learning Object recognition Linear discriminant analysis Cross-validation Template matching One-shot learning Boosting methods for object categorization Computer vision Statistics Vision
493	Object class recognition and localization using sparse features with limited receptive fields ∗ Jim Mutch † Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge, MA Add to Reading List Source URL: www.mit.edu Language: English - Date: 2008-04-17 16:44:02 Statistics Image processing California Institute of Technology Caltech 101 Object recognition Feature selection Support vector machine Template matching Filter Computer vision Vision Imaging
494	Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]CBCL-312 June 18, 2013 Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2013-06-20 16:39:10 Imaging Object recognition Pose Extrastriate body area Invariant Perception Scale-invariant feature transform Kadir–Brady saliency detector Computer vision Vision Optics
495	IMAGE CLASSIFICATION WITH BAGS OF LOCAL FEATURES A Dissertation Presented by DIMITRI A. LISIN Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2014-06-18 18:40:04 Artificial intelligence Mathematics Feature Object recognition Interest point detection Vector space Scale space K-nearest neighbor algorithm Vector Computer vision Image processing Algebra
496	CONSENT FORM Audiovisual Distinctive-Feature Based Recognition Add to Reading List Source URL: cita.disability.uiuc.edu Language: English - Date: 2006-08-16 09:14:02 Computational linguistics User interface techniques Internet culture Online chat Talker Speech recognition University of Illinois at Urbana–Champaign Sound recording and reproduction Speech Champaign County Illinois Illinois Education
497	CONSENT FORM Audiovisual Distinctive-Feature Based Recognition Add to Reading List Source URL: cita.disability.uiuc.edu Language: English - Date: 2006-08-16 09:13:25 Computational linguistics User interface techniques Internet culture Online chat Talker Speech recognition University of Illinois at Urbana–Champaign Sound recording and reproduction Speech Champaign County Illinois Illinois Education
498	Kurzweil 1000 Version 13 New Features For the most up-to-date feature information, refer to the Readme file on the product CD. The following is a summary of what’s new in Version 13. For complete details, go to the onl Add to Reading List Source URL: www.kurzweiledu.com Language: English - Date: 2012-05-31 15:24:31 Optical character recognition E-books EPUB FineReader K1000 Portable Document Format Nuance Communications LISTSERV Kurzweil K250 Computing Computer file formats Open formats
499	Matching Interest Points Using Affine Invariant Concentric Circles Han-Pang Chiu Tomas Lozano-Perez CSAIL, Massachusetts Institute of Technology {chiu, tlp}@csail.mit.edu Abstract Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:15:21 Artificial intelligence Scale-invariant feature transform Interest point detection Object recognition Ellipse Affine transformation Feature Kadir–Brady saliency detector Harris affine region detector Computer vision Image processing Geometry
500	ROAD REPOSITIONING ISSUES January 31, 2001 The following pages are examples of Road repositioning issues encountered in the Michigan Geographic Framework. They are presented here in draft form for consideration by Framew Add to Reading List Source URL: www.michigan.gov Language: English - Date: 2012-12-07 19:45:27 Great Britain road numbering scheme Intersection Feature recognition Road surface marking Transport Road transport Land transport

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