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114
Voted
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
ICIP
2007
IEEE
15 years 4 months ago
2007
IEEE
Realistic audio-visual mapping remains a very challenging problem. Having short time delay between inputs and outputs is also of great importance. In this paper, we present a new ...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...
65
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The maximum a posteriori (MAP) criterion is broadly used in the statistical model-based voice activity detection (VAD) approaches. In the conventional MAP criterion, however, the ...
139
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The segmentation of ultrasound images is challenging due to the difficulty of appropriate modeling of their appearance variations including speckle as well as signal dropout. We ...