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167
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ECCV
2004
Springer
16 years 5 months ago
Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models
Abstract. The exploitation of video data requires to extract information at a rather semantic level, and then, methods able to infer "concepts" from low-level video featu...
Gwenaëlle Piriou, Jian-Feng Yao, Patrick Bout...
122
Voted
CVPR
2010
IEEE
16 years 2 days ago
Spike Train Driven Dynamical Models for Human Actions
We investigate dynamical models of human motion that can support both synthesis and analysis tasks. Unlike coarser discriminative models that work well when action classes are ...
Michalis Raptis, Kamil Wnuk , Stefano Soatto
141
Voted
ISBI
2009
IEEE
15 years 10 months ago
Instance-Based Generative Biological Shape Modeling
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
Tao Peng, Wei Wang, Gustavo K. Rohde, Robert F. Mu...
116
Voted
BROADNETS
2007
IEEE
15 years 10 months ago
Modeling and generating TCP application workloads
Abstract — In order to perform valid experiments, traffic generators used in network simulators and testbeds require up to date models of traffic as it exists on real network lin...
Félix Hernández-Campos, Kevin Jeffay...
125
Voted
VTC
2007
IEEE
15 years 10 months ago
Including Diffuse Multipath Parameters in MIMO Channel Models
Abstract— Recent findings suggest to split the impulse response of the radio channel into discrete paths and the “diffuse multipath” (DMP). This diffuse part can be describe...
Nicolai Czink, Andreas Richter, Ernst Bonek, Jukka...