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220
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
185
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
Simplification of mixture models has recently emerged as an important issue in the field of statistical learning. The heavy computational demands of using large order models dro...
204
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COMPGEOM
2004
ACM
16 years 16 days ago
2004
ACM
We consider the problem of approximate range counting over streams of d-dimensional points. In the data stream model, the algorithm makes a single scan of the data, which is prese...
184
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ECCV
2008
Springer
16 years 9 months ago
2008
Springer
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
211
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...