Object model

Results: 2466



#Item
971ABSTRACTION-BASED ENVIRONMENTS Grady H. Campbell, Jr. ABSTRACTION-BASED ENVIRONMENTS

ABSTRACTION-BASED ENVIRONMENTS Grady H. Campbell, Jr. ABSTRACTION-BASED ENVIRONMENTS

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Source URL: www.domain-specific.com

Language: English - Date: 2012-04-25 17:10:29
972FTP Automation Component Manual  Table of Contents 1. Introduction ............................................................................................................................. [removed]Example script ....

FTP Automation Component Manual Table of Contents 1. Introduction ............................................................................................................................. [removed]Example script ....

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Source URL: www.sysax.com

Language: English - Date: 2011-10-28 16:07:44
973References [AA00] Ambrosio Toval Alvarez and Jose Luis Fernandez Aleman. Formally modeling UML and its evolution: A holistic approach. In Scott F. Smith and Carolyn L. Talcott, editors, Formal Methods for Open Object-Bas

References [AA00] Ambrosio Toval Alvarez and Jose Luis Fernandez Aleman. Formally modeling UML and its evolution: A holistic approach. In Scott F. Smith and Carolyn L. Talcott, editors, Formal Methods for Open Object-Bas

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Source URL: www.db.informatik.uni-bremen.de

Language: English - Date: 2005-05-10 06:11:42
974Temporal Model for Debugging and Visualizations Demian Lessa Bharat Jayaraman  CSE Department

Temporal Model for Debugging and Visualizations Demian Lessa Bharat Jayaraman CSE Department

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Source URL: www.cse.buffalo.edu

Language: English - Date: 2010-09-03 13:11:33
975Microsoft Word - Docklight_Application_Note_DLL.doc

Microsoft Word - Docklight_Application_Note_DLL.doc

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Source URL: www.docklight.de

Language: English - Date: 2013-12-09 17:04:12
976Unsupervised Feature Learning for 3D Scene Labeling Kevin Lai, Liefeng Bo, and Dieter Fox Abstract— This paper presents an approach for labeling objects in 3D scenes. We introduce HMP3D, a hierarchical sparse coding te

Unsupervised Feature Learning for 3D Scene Labeling Kevin Lai, Liefeng Bo, and Dieter Fox Abstract— This paper presents an approach for labeling objects in 3D scenes. We introduce HMP3D, a hierarchical sparse coding te

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Source URL: homes.cs.washington.edu

Language: English - Date: 2014-02-17 17:20:52
97788  IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 14, NO. 1, FEBRUARY 2012 Semantic Model Vectors for Complex Video Event Recognition

88 IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 14, NO. 1, FEBRUARY 2012 Semantic Model Vectors for Complex Video Event Recognition

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2012-03-15 23:35:13
978Saxon: Anatomy of an XSLT processor What is current state of the art in XSLT optimization? Michael Kay ([removed]) Writer and programmer Saxonica Limited

Saxon: Anatomy of an XSLT processor What is current state of the art in XSLT optimization? Michael Kay ([removed]) Writer and programmer Saxonica Limited

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Source URL: www.ibm.com

Language: English - Date: 2014-01-06 11:10:59
979Composite Models of Objects and Scenes for Category Recognition David J. Crandall Daniel P. Huttenlocher Department of Computer Science, Cornell University Ithaca, NY 14853 {crandall,dph}@cs.cornell.edu

Composite Models of Objects and Scenes for Category Recognition David J. Crandall Daniel P. Huttenlocher Department of Computer Science, Cornell University Ithaca, NY 14853 {crandall,dph}@cs.cornell.edu

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Source URL: www.cs.cornell.edu

Language: English - Date: 2007-05-21 06:50:28