229 search results - page 1 / 46 » On Discriminative Joint Density Modeling |
ECML
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. We study discriminative joint density models, that is, generative models for the joint density p(c, x) learned by maximizing a discriminative cost function, the condition...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
HUMO
2000
Springer
13 years 8 months ago
2000
Springer
Seeing biological motion is very important for both humans and computers. Psychophysics experiments show that the ability of our visual system for biological motion detection and ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Metal and beam-hardening artifacts are tough issues in Computed Tomography (CT) images. This paper proposes an iterative Maximum A Posteriori (MAP) reconstruction algorithm aiming...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...