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» Orthogonal Feature Learning for Time Series Clustering
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DT
2000
88views more  DT 2000»
13 years 8 months ago
Postsilicon Validation Methodology for Microprocessors
f abstraction as applicable to break the problem's complexity, and innovating better techniques to address complexity of new microarchitectural features. Validation techniques...
Hemant G. Rotithor
CVPR
2006
IEEE
14 years 10 months ago
Counting Crowded Moving Objects
In its full generality, motion analysis of crowded objects necessitates recognition and segmentation of each moving entity. The difficulty of these tasks increases considerably wi...
Vincent Rabaud, Serge Belongie
APSCC
2008
IEEE
14 years 3 months ago
Integration and Implementation of Secured IP Based Surveillance Networks
— This paper presents a method of integration and implementation of transmitting video and audio data from multiple Internet Protocol (IP) surveillance cameras in a wireless sens...
Charles C. Castello, Jeffrey Fan, Te-Shun Chou, Ho...
KDD
2009
ACM
203views Data Mining» more  KDD 2009»
14 years 9 months ago
Characterizing individual communication patterns
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for char...
R. Dean Malmgren, Jake M. Hofman, Luis A. N. Amara...
MM
2009
ACM
252views Multimedia» more  MM 2009»
14 years 3 months ago
Localizing volumetric motion for action recognition in realistic videos
This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge ca...
Xiao Wu, Chong-Wah Ngo, Jintao Li, Yongdong Zhang