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» Principled Sampling for Anomaly Detection
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ECCV
2002
Springer
15 years 21 days ago
Automatic Detection and Tracking of Human Motion with a View-Based Representation
Abstract. This paper proposes a solution for the automatic detection and tracking of human motion in image sequences. Due to the complexity of the human body and its motion, automa...
Ronan Fablet, Michael J. Black
CVPR
2010
IEEE
14 years 6 months ago
Spatialized Epitome and Its Applications
Due to the lack of explicit spatial consideration, existing epitome model may fail for image recognition and target detection, which directly motivates us to propose the so-calle...
Xinqi Chu, Shuicheng Yan, Liyuan Li, Kap Luk Chan,...
CVPR
2005
IEEE
15 years 26 days ago
OBJ CUT
In this paper we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
DATE
2008
IEEE
143views Hardware» more  DATE 2008»
14 years 5 months ago
Comparison of Opamp-Based and Comparator-Based Delta-Sigma Modulation
Comparator-based switched capacitor (CBSC) circuits present an alternative approach to designing sampled data systems based on the principle of detecting a virtual ground conditio...
Massoud Momeni, Petru Bogdan Bacinschi, Manfred Gl...
KDD
2008
ACM
165views Data Mining» more  KDD 2008»
14 years 11 months ago
Colibri: fast mining of large static and dynamic graphs
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, P...