Object recognition

Results: 1078



#Item
291Memory / Epistemology / Neuropsychological assessment / Vision / Cognition / Recall / Working memory / Object recognition / Visual memory / Mind / Mental processes / Cognitive science

Journal of Experimental Psychology: General 2013, Vol. 142, No. 3, 791– 808 © 2012 American Psychological Association/$12.00 DOI: a0029649

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Source URL: cvcl.mit.edu

Language: English - Date: 2013-08-04 11:34:05
292Signal processing / Statistics / Cybernetics / Kalman filter / Segmentation / Particle filter / Object recognition / Computer vision / Image processing / Robot control

Visual Tracking of Human Visitors under Variable-Lighting Conditions for a Responsive Audio Art Installation Andrew B. Godbehere, Akihiro Matsukawa, Ken Goldberg Abstract—For a responsive audio art installation in a s

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Source URL: www.ieor.berkeley.edu

Language: English - Date: 2012-03-19 03:19:15
293Information technology management / Enterprise architecture / Systems engineering / Data modeling tools / Enterprise Architect / Enterprise modelling / Model-driven engineering / Modeling language / Object Management Group / Unified Modeling Language / Software engineering / Software

Sparx Systems Wins Prestigious Industry Recognition from SD Times

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Source URL: sparxsystems.com.au

Language: English - Date: 2013-07-22 11:31:41
294History of the United States / Article One of the United States Constitution / Law / Anti-Terrorism Act / James Madison / United States Constitution / Government

MUTUAL RECOGNITION (QUEENSLAND) BILL 1992 EXPLANATORY NOTE (This Explanatory Note relates to this Bill as introduced into Parliament) 1. The object of this Bill is to enable the enactment of legislation applying

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Source URL: www.legislation.qld.gov.au

Language: English - Date: 2010-01-04 00:27:24
295Optics / Key frame / Video / Natural language processing / Internet search engines / TRECVID / Object recognition / Information retrieval / Video search engine / Vision / Imaging / Computer vision

Glasgow University at TRECVid 2007

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Source URL: www.dcs.gla.ac.uk

Language: English - Date: 2008-01-05 05:11:41
296Optics / Histogram of oriented gradients / Gesture recognition / Segmentation / Parsing / Object recognition / Figure drawing / Function / Vision / Computer vision / Imaging

Learning Hierarchical Poselets for Human Parsing Yang Wang Duan Tran Zicheng Liao Department of Computer Science, University of Illinois at Urbana-Champaign {yangwang, ddtran2, liao17}@uiuc.edu

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Source URL: web.engr.illinois.edu

Language: English - Date: 2011-04-04 22:47:55
297Artificial intelligence / Face recognition / Histogram of oriented gradients / Face detection / Haar-like features / Viola–Jones object detection framework / Boosting methods for object categorization / Computer vision / Vision / Imaging

Detection of Persons in Videos captured using Mobile Phone Cameras Yash Abooj, Seon Ho Kim, Luciano Nocera Integrated Media Systems Center University of Southern California

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Source URL: imsc.usc.edu

Language: English - Date: 2015-03-26 19:45:38
298Semantic similarity / Mathematics / Connectivity / Automatic image annotation / Graph / Object recognition / Science / Computational linguistics / Graph theory / Artificial intelligence

Semantic Relationships in Multi-modal Graphs for Automatic Image Annotation Vassilios Stathopoulos, Jana Urban, and Joemon Jose Department of Computer Science, University of Glasgow, 17 Lilybank Gardens, Glasgow G12 8QQ

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Source URL: www.dcs.gla.ac.uk

Language: English - Date: 2008-02-01 09:23:50
299GLOH / Object recognition / SURF / Computer vision / Scale-invariant feature transform / Feature

Training Binary Descriptors for Improved Robustness and Efficiency in Real-Time Matching Sharat Saurabh Akhoury and Robert Lagani`ere School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, O

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Source URL: www.site.uottawa.ca

Language: English - Date: 2013-09-04 13:50:16
300Computer vision / Object recognition / Holism / Segmentation / Part-based models / Document Object Model / Imaging / Computing / Vision

Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts Xianjie Chen1 , Roozbeh Mottaghi2 , Xiaobai Liu1 , Sanja Fidler3 , Raquel Urtasun3 , Alan Yuille1 1 University of California, L

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Source URL: www.cs.toronto.edu

Language: English
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