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ICASSP
2008
IEEE
14 years 2 months ago
Discriminative learning for optimizing detection performance in spoken language recognition
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
ICASSP
2007
IEEE
14 years 8 days ago
Depth Detection of Light Field
We propose an algorithm to detect depths in a light field. Specifically, given a 4D light field, we find all planes at which objects are located. Although the exact depth of each ...
Yi-Hao Kao, Chia-Kai Liang, Li-Wen Chang, Homer H....
ICASSP
2007
IEEE
14 years 8 days ago
Robust Matched Filters for Target Detection in Hyperspectral Imaging Data
Most detection algorithms for hyperspectral imaging applications assume a target with a perfectly known spectral signature. In practice, the target signature is either imperfectly...
Dimitris Manolakis, Ronald Lockwood, Thomas Cooley...
ICASSP
2010
IEEE
13 years 8 months ago
Automatic detection of well sampled images via a new ringing measure
According to Shannon Sampling Theory, Fourier interpolation is the optimal way to reach subpixel accuracy from a properly-sampled digital image. However, for most images this inte...
Gwendoline Blanchet, Lionel Moisan, Bernard Roug&e...
ICASSP
2011
IEEE
13 years 4 days ago
Discriminative Training for direct minimization of deletion, insertion and substitution errors
In this paper, we follow the minimum error principle for acoustic modeling and formulate error objectives in insertion, deletion, and substitution separately for minimization duri...
Sunghwan Shin, Ho-Young Jung, Biing-Hwang Juang