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ICASSP
2011
IEEE
14 years 10 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
TOG
2012
301views Communications» more  TOG 2012»
13 years 9 months ago
An analytic model for full spectral sky-dome radiance
We present a physically-based analytical model of the daytime sky. Based on the results of a first-principles brute force simulation of radiative transfer in the atmosphere, we u...
Lukas Hosek, Alexander Wilkie
TIP
2010
113views more  TIP 2010»
15 years 1 months ago
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and ultrasound and laser...
José M. Bioucas-Dias, Mário A. T. Fi...
CVPR
2009
IEEE
17 years 1 months ago
New Appearance Models for Natural Image Matting
Image matting is the task of estimating a fore- and background layer from a single image. To solve this ill posed problem, an accurate modeling of the scene’s appearance is ne...
Dheeraj Singaraju (Johns Hopkins University), Cars...
CVPR
1998
IEEE
16 years 8 months ago
Histogram Model for 3D Textures
Image texture can arise not only from surface albedo variations (2D texture) but also from surface height variations (3D texture). Since the appearance of 3D texture depends on th...
Kristin J. Dana, Shree K. Nayar