98 search results - page 11 / 20 » Gaussian Mixture Modeling by Exploiting the Mahalanobis Dist... |
ICPR
2000
IEEE
14 years 1 months ago
2000
IEEE
In this paper we introduce a new deformable model, called eigensnake, for segmentation of elongated structures in a probabilistic framework. Instead of snake attraction by speciï¬...
TASLP
2002
13 years 8 months ago
2002
Two approaches are proposed for the design of tied-mixture hidden Markov models (TMHMM). One approach improves parameter sharing via partial tying of TMHMM states. To facilitate ty...
NOLISP
2005
Springer
14 years 2 months ago
2005
Springer
The best performing systems in the area of automatic speaker recognition have focused on using short-term, low-level acoustic information, such as sepstral features. Recently, vari...
ICASSP
2007
IEEE
14 years 2 months ago
2007
IEEE
Background modeling and subtraction is a fundamental task in many computer vision and video processing applications. We present a novel probabilistic background modeling and subtr...
ICML
2009
IEEE
14 years 9 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...