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AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
9 years 4 months ago
Facial Expression Analysis Using Nonlinear Decomposable Generative Models
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...
Chan-Su Lee, Ahmed M. Elgammal
ICPR
2010
IEEE
9 years 4 months ago
Discriminative Level Set for Contour Tracking
Conventional contour tracking algorithms with level set often use generative models to construct the energy function. For tracking through cluttered and noisy background, however,...
Wei Li
ISWC
2006
IEEE
9 years 5 months ago
Towards Less Supervision in Activity Recognition from Wearable Sensors
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...
Tâm Huynh, Bernt Schiele
ICMCS
2006
IEEE
169views Multimedia» more  ICMCS 2006»
9 years 5 months ago
Synthesis and Control of High Resolution Facial Expressions for Visual Interactions
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...
Chan-Su Lee, Ahmed M. Elgammal, Dimitris N. Metaxa...
CVPR
2006
IEEE
9 years 5 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
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 ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
ICB
2007
Springer
124views Biometrics» more  ICB 2007»
9 years 5 months ago
Face Authentication with Salient Local Features and Static Bayesian Network
In this paper, the problem of face authentication using salient facial features together with statistical generative models is adressed. Actually, classical generative models, and ...
Guillaume Heusch, Sébastien Marcel
IEEEIAS
2007
IEEE
9 years 5 months ago
Generative Models for Fingerprint Individuality using Ridge Types
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...
Gang Fang, Sargur N. Srihari, Harish Srinivasan
ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
9 years 5 months ago
Two-Layer Generative Models for Sport Video Mining
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...
Yi Ding, Guoliang Fan, W. Bryan
ICDM
2007
IEEE
139views Data Mining» more  ICDM 2007»
9 years 5 months ago
Data Clustering with a Relational Push-Pull Model
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...
Adam Anthony, Marie desJardins
CVPR
2007
IEEE
9 years 5 months ago
Learning Generative Models via Discriminative Approaches
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...
Zhuowen Tu
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