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ICASSP
2010
IEEE
15 years 1 days ago
Large margin filtering for Signal Sequence Labeling
Signal Sequence Labeling consists in predicting a sequence of labels given an observed sequence of samples. A naive way is to filter the signal in order to reduce the noise and t...
Rémi Flamary, Benjamin Labbé, Alain ...
CORR
2007
Springer
112views Education» more  CORR 2007»
14 years 12 months ago
Learning from compressed observations
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
Maxim Raginsky
IGARSS
2009
14 years 9 months ago
General Framework on Change Detection in a Sparse Domain
The paper presents a general framework for change detection in radar images, for an operational purpose and in the context of environmental monitoring. This framework is based on ...
Abdourrahmane M. Atto, Grégoire Mercier, Do...
JMLR
2012
13 years 2 months ago
Minimax rates for homology inference
Often, high dimensional data lie close to a low-dimensional submanifold and it is of interest to understand the geometry of these submanifolds. The homology groups of a manifold a...
Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sh...
CVPR
2005
IEEE
16 years 1 months ago
Computer Vision for Music Identification
We describe how certain tasks in the audio domain can be effectively addressed using computer vision approaches. This paper focuses on the problem of music identification, where t...
Yan Ke, Derek Hoiem, Rahul Sukthankar