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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
160
Voted
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 1 months 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 1 months 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
NIPS
2003
15 years 8 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