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ICASSP
2011
IEEE
14 years 10 months ago
Sparse coding and dictionary learning based on the MDL principle
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
Ignacio Ramírez, Guillermo Sapiro
MICCAI
2006
Springer
16 years 7 months ago
Anatomically Informed Convolution Kernels for the Projection of fMRI Data on the Cortical Surface
Abstract. We present here a method that aims at producing representations of functional brain data on the cortical surface from functional MRI volumes. Such representations are req...
Grégory Operto, Jean-Luc Anton, Olivier Cou...
GLOBECOM
2008
IEEE
16 years 29 days ago
Information Theoretic Approach to Signal Feature Detection for Cognitive Radio
—Cognitive radio (CR) systems need to be able to adjust the transceiver characteristics in response to stimuli received from the radio environment. Therefore, monitoring the wire...
Mostafa Z. Afgani, Sinan Sinanovic, Harald Haas
ISBI
2007
IEEE
16 years 24 days ago
Registration of Ultrasound Images Using an Information-Theoretic Feature Detector
In this paper, we present a new method for ultrasound image registration. For each image to be registered, our method first applies an ultrasound-specific information-theoretic ...
Zhe Wang, Gregory G. Slabaugh, Gozde B. Unal, Tong...
COLT
2007
Springer
16 years 20 days ago
Sketching Information Divergences
When comparing discrete probability distributions, natural measures of similarity are not p distances but rather are informationdivergences such as Kullback-Leibler and Hellinger. ...
Sudipto Guha, Piotr Indyk, Andrew McGregor