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ICASSP
2011
IEEE
12 years 11 months ago
Discriminative training for Bayesian sensing hidden Markov models
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...
George Saon, Jen-Tzung Chien
WAPCV
2007
Springer
14 years 2 months ago
An Experimental Comparison of Three Guiding Principles for the Detection of Salient Image Locations: Stability, Complexity, and
We present an experimental comparison of the performance of representative saliency detectors from three guiding principles for the detection of salient image locations: locations...
Dashan Gao, Nuno Vasconcelos
IJCAI
2007
13 years 9 months ago
Parametric Kernels for Sequence Data Analysis
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
Young-In Shin, Donald S. Fussell
CORR
2010
Springer
258views Education» more  CORR 2010»
13 years 8 months ago
Single Frame Image super Resolution using Learned Directionlets
In this paper, a new directionally adaptive, learning based, single image super resolution method using multiple direction wavelet transform, called Directionlets is presented. Th...
A. P. Reji, Tessamma Thomas
ECIR
2009
Springer
14 years 5 months ago
Investigating Learning Approaches for Blog Post Opinion Retrieval
Blog post opinion retrieval is the problem of identifying posts which express an opinion about a particular topic. Usually the problem is solved using a 3 step process in which rel...
Shima Gerani, Mark James Carman, Fabio Crestani