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100
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CORR
2007
Springer
164views Education» more  CORR 2007»
15 years 24 days ago
Consistency of the group Lasso and multiple kernel learning
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
Francis Bach
95
Voted
TIT
1998
70views more  TIT 1998»
15 years 14 days ago
The Poisson Multiple-Access Channel
—The Poisson multiple-access channel (MAC) models many-to-one optical communication through an optical fiber or in free space. For this model we compute the capacity region for ...
Amos Lapidoth, Shlomo Shamai
115
Voted
PAMI
2011
14 years 7 months ago
Learning a Family of Detectors via Multiplicative Kernels
—Object detection is challenging when the object class exhibits large within-class variations. In this work, we show that foreground-background classification (detection) and wit...
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan ...
103
Voted
TASLP
2010
141views more  TASLP 2010»
14 years 7 months ago
Adaptive Harmonic Spectral Decomposition for Multiple Pitch Estimation
Multiple pitch estimation consists of estimating the fundamental frequencies and saliences of pitched sounds over short time frames of an audio signal. This task forms the basis of...
Emmanuel Vincent, Nancy Bertin, Roland Badeau
98
Voted
ICIP
2008
IEEE
16 years 2 months ago
Motion blur free HDR image acquisition using multiple exposures
The high dynamic range image (HDRI) acquisition method based on Markov random field model is proposed. By combining multiple exposure images shot with different shutter speed, we ...
Takao Jinno, Masahiro Okuda