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133
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ECCV
2002
Springer
16 years 4 months ago
Implicit Probabilistic Models of Human Motion for Synthesis and Tracking
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
Hedvig Sidenbladh, Michael J. Black, Leonid Sigal
DATAMINE
2008
143views more  DATAMINE 2008»
15 years 2 months ago
Automatically countering imbalance and its empirical relationship to cost
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
Nitesh V. Chawla, David A. Cieslak, Lawrence O. Ha...
ISMB
2000
15 years 3 months ago
Analysis of Gene Expression Microarrays for Phenotype Classification
Several microarray technologies that monitor the level of expression of a large number of genes have recently emerged. Given DNA-microarray data for a set of cells characterized b...
Andrea Califano, Gustavo Stolovitzky, Yuhai Tu
115
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COMCOM
2010
96views more  COMCOM 2010»
15 years 2 months ago
Passive internet measurement: Overview and guidelines based on experiences
Due to its versatility, flexibility and fast development, the modern Internet is far from being well understood in its entirety. A good way to learn more about how the Internet fu...
Wolfgang John, Sven Tafvelin, Tomas Olovsson
126
Voted
CVPR
1999
IEEE
16 years 4 months ago
Vision-Based Speaker Detection Using Bayesian Networks
The development of user interfaces based on vision and speech requires the solution of a challenging statistical inference problem: The intentions and actions of multiple individu...
James M. Rehg, Kevin P. Murphy, Paul W. Fieguth