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ICASSP
2011
IEEE
14 years 5 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
14 years 5 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
14 years 5 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
14 years 5 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
15 years 3 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...