151 search results - page 4 / 31 » MGMM: Multiresolution Gaussian Mixture Models for Computer V... |
CVPR
2000
IEEE
15 years 11 months ago
2000
IEEE
A problem of using mixture-of-Gaussian models for unsupervised texturesegmentationisthat "multimodal"textures(such ascan often be encountered in natural images) cannot b...
ICPR
2010
IEEE
14 years 11 months ago
2010
IEEE
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...
79
Voted
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
94
Voted
NIPS
2004
14 years 11 months ago
2004
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
The Gaussian Mixture Model (GMM) is often used in conjunction with Mel-frequency cepstral coefficient (MFCC) feature vectors for speaker recognition. A great challenge is to use ...