AMFG
2005
IEEE
13 years 10 months ago
2005
IEEE
We present a new framework to represent and analyze dynamic facial motions using a decomposable generative model. In this paper, we consider facial expressions which lie on a one d...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Conventional contour tracking algorithms with level set often use generative models to construct the energy function. For tracking through cluttered and noisy background, however,...
ISWC
2006
IEEE
13 years 10 months ago
2006
IEEE
Activity Recognition has gained a lot of interest in recent years due to its potential and usefulness for context-aware wearable computing. However, most approaches for activity r...
ICMCS
2006
IEEE
13 years 10 months ago
2006
IEEE
The synthesis of facial expression with control of intensity and personal styles is important in intelligent and affective human-computer interaction, especially in face-to-face i...
CVPR
2006
IEEE
13 years 10 months ago
2006
IEEE
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
ICB
2007
Springer
13 years 10 months ago
2007
Springer
In this paper, the problem of face authentication using salient facial features together with statistical generative models is adressed. Actually, classical generative models, and ...
IEEEIAS
2007
IEEE
13 years 10 months ago
2007
IEEE
Generative models of pattern individuality attempt to represent the distribution of observed quantitative features, e.g., by learning parameters from a database, and then use such...
ICMCS
2007
IEEE
13 years 10 months ago
2007
IEEE
We present a two-layer generative model for sport video mining that is composed of a two-layer observation model. The first layer is the Gaussian mixture model (GMM) using framew...
ICDM
2007
IEEE
13 years 10 months ago
2007
IEEE
We present a new generative model for relational data in which relations between objects can have either a binding or a separating effect. For example, in a group of students sep...
CVPR
2007
IEEE
13 years 11 months ago
2007
IEEE
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...