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» Sparsity in time-frequency representations
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ICA
2010
Springer
13 years 6 months ago
Consistent Wiener Filtering: Generalized Time-Frequency Masking Respecting Spectrogram Consistency
Wiener filtering is one of the most widely used methods in audio source separation. It is often applied on time-frequency representations of signals, such as the short-time Fourier...
Jonathan Le Roux, Emmanuel Vincent, Yuu Mizuno, Hi...
EJASP
2010
92views more  EJASP 2010»
12 years 11 months ago
Optimized Paraunitary Filter Banks for Time-Frequency Channel Diagonalization
We adopt the concept of channel diagonalization to time-frequency signal expansions obtained by DFT filter banks. As a generalization of the frequency domain channel representatio...
Ziyang Ju, Thomas Hunziker, Dirk Dahlhaus
KDD
2012
ACM
183views Data Mining» more  KDD 2012»
11 years 7 months ago
Mining discriminative components with low-rank and sparsity constraints for face recognition
This paper introduces a novel image decomposition approach for an ensemble of correlated images, using low-rank and sparsity constraints. Each image is decomposed as a combination...
Qiang Zhang, Baoxin Li
ICIP
2003
IEEE
14 years 6 months ago
Redundant representation with complex wavelets: how to achieve sparsity
Overcomplete transforms, like the Dual-Tree Complex Wavelet Transform, offer more flexible signal representations than critically-sampled transforms, due to their properties of sh...
Nick G. Kingsbury, Tanya Reeves
ACL
2009
13 years 2 months ago
Distributional Representations for Handling Sparsity in Supervised Sequence-Labeling
Supervised sequence-labeling systems in natural language processing often suffer from data sparsity because they use word types as features in their prediction tasks. Consequently...
Fei Huang, Alexander Yates