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106
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ICASSP
2010
IEEE
14 years 10 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
88
Voted
FGR
1998
IEEE
131views Biometrics» more  FGR 1998»
15 years 2 months ago
Tracking and Segmenting People in Varying Lighting Conditions Using Colour
Colour cues were used to obtain robust detection and tracking of people in relatively unconstrained dynamic scenes. Gaussian mixture models were used to estimate probability densi...
Yogesh Raja, Stephen J. McKenna, Shaogang Gong
95
Voted
ICASSP
2011
IEEE
14 years 1 months ago
A kernelized maximal-figure-of-merit learning approach based on subspace distance minimization
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
Byungki Byun, Chin-Hui Lee
ECML
2007
Springer
15 years 4 months ago
Separating Precision and Mean in Dirichlet-Enhanced High-Order Markov Models
Abstract. Robustly estimating the state-transition probabilities of highorder Markov processes is an essential task in many applications such as natural language modeling or protei...
Rikiya Takahashi
CHI
1999
ACM
15 years 2 months ago
Interactive 3D Sound Hyperstories for Blind Children
Interactive software is currently used for learning and entertainment purposes. This type of software is not very common among blind children because most computer games and elect...
Mauricio Lumbreras, Jaime Sánchez