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» On sparse signal representations
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ICML
2004
IEEE
16 years 7 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
TIP
2008
108views more  TIP 2008»
15 years 6 months ago
Geometry-Based Distributed Scene Representation With Omnidirectional Vision Sensors
Abstract--This paper addresses the problem of efficient representation of scenes captured by distributed omnidirectional vision sensors. We propose a novel geometric model to descr...
Ivana Tosic, Pascal Frossard
ICASSP
2008
IEEE
16 years 17 days ago
Finding needles in noisy haystacks
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
Rui M. Castro, Jarvis Haupt, Robert Nowak, Gil M. ...
SIPS
2007
IEEE
16 years 12 days ago
A New Video Compression Scheme Combining Conditional Replenishment and Address Event Representation
A novel video compression scheme is presented in this paper. This algorithm is implemented based on a conditional replenishment Address Event Representation (AER) imager, where im...
Harry. L. Hu, Amine Bermak, Dominique Martinez
131
Voted
NIPS
2003
15 years 7 months ago
A Probabilistic Model of Auditory Space Representation in the Barn Owl
The barn owl is a nocturnal hunter, capable of capturing prey using auditory information alone [1]. The neural basis for this localization behavior is the existence of auditory ne...
Brian J. Fischer, Charles H. Anderson