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ICASSP
2011
IEEE
12 years 11 months ago
Fully non-local super-resolution via spectral hashing
Super-resolution is the task of creating an high resolution image from a low resolution input sequence. To overcome the difficulties of fine image registration, several methods ...
Emmanuel d'Angelo, Pierre Vandergheynst
ICASSP
2011
IEEE
12 years 11 months ago
Concurrent estimation of singing voice F0 and phonemes by using spectral envelopes estimated from polyphonic music
The scarcity of available multi-track recordings constitutes a severe constraint on the training of probabilistic models for voice extraction from polyphonic music. We propose a n...
Hiromasa Fujihara, Masataka Goto
ICASSP
2011
IEEE
12 years 11 months ago
Spectral magnitude minimum mean-square error binary masks for DFT based speech enhancement
Originally, ideal binary mask (idbm) techniques have been used as a tool for studying aspects of the auditory system. More recently, idbm techniques have been adapted to the pract...
Jesper Jensen, Richard C. Hendriks
ICASSP
2011
IEEE
12 years 11 months ago
Improved model-based spectral compressive sensing via nested least squares
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...
Mahdi Shaghaghi, Sergiy A. Vorobyov
NIPS
2008
13 years 9 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...