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CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
160
Voted
ICIP
2005
IEEE
16 years 5 months ago
Learning hidden semantic cues using support vector clustering
This paper presents a method to infer hidden semantic cues by accumulating the knowledge learned from relevance feedback sessions. We propose to explicitly represent a semantic sp...
Jia-Wen Tung, Chiou-Ting Hsu
124
Voted
WEBI
2009
Springer
15 years 10 months ago
Rigorous Probabilistic Trust-Inference with Applications to Clustering
The World Wide Web has transformed into an environment where users both produce and consume information. In order to judge the validity of information, it is important to know how...
Thomas DuBois, Jennifer Golbeck, Aravind Srinivasa...
123
Voted
ECBS
2006
IEEE
126views Hardware» more  ECBS 2006»
15 years 10 months ago
Experiments and Investigations for the Personal High Performance Computing (PHPC) built on top of the 64-bit processing and clus
The motivation and objective for this paper is to demonstrate “Personal High Performance Computing (PHPC)”, which requires only a smaller number of computers, resources and sp...
Victor Chang
DMSN
2006
ACM
15 years 10 months ago
Intelligent system monitoring on large clusters
Modern data centers have a large number of components that must be monitored, including servers, switches/routers, and environmental control systems. This paper describes InteMon,...
Jimeng Sun, Evan Hoke, John D. Strunk, Gregory R. ...