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» Improved Sparse Bump Modeling for Electrophysiological Data
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WWW
2010
ACM
14 years 2 months ago
Find me if you can: improving geographical prediction with social and spatial proximity
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data re...
Lars Backstrom, Eric Sun, Cameron Marlow
CVPR
2011
IEEE
12 years 11 months ago
Generalized Group Sparse Classifiers with Application in fMRI Brain Decoding
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
Bernard Ng, Rafeef Abugharbieh
ICASSP
2009
IEEE
14 years 2 months ago
Resampling auxiliary data for language model adaptation in machine translation for speech
Performance of n-gram language models depends to a large extent on the amount of training text material available for building the models and the degree to which this text matches...
Sameer Maskey, Abhinav Sethy
INTERSPEECH
2010
13 years 2 months ago
Artificial and online acquired noise dictionaries for noise robust ASR
Recent research has shown that speech can be sparsely represented using a dictionary of speech segments spanning multiple frames, exemplars, and that such a sparse representation ...
Jort F. Gemmeke, Tuomas Virtanen
DAC
1996
ACM
13 years 11 months ago
A Sparse Image Method for BEM Capacitance Extraction
Boundary element methods (BEM) are often used for complex 3-D capacitance extraction because of their efficiency, ease of data preparation, and automatic handling of open regions. ...
Byron Krauter, Yu Xia, E. Aykut Dengi, Lawrence T....