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WSCG
2000
93views more  WSCG 2000»
15 years 8 months ago
Real-time Animation Technique for Flexible and Thin Objects
In this paper, we propose an e cient technique for the animation of exible thin objects. Massspring model was employed to represent the exible objects. Many techniques have used t...
Young-Min Kang, Jeong-Hyeon Choi, Hwan-Gue Cho, Do...
ICASSP
2011
IEEE
14 years 10 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
ECCV
2000
Springer
16 years 9 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
ICWS
2009
IEEE
16 years 4 months ago
What are the Problem Makers: Ranking Activities According to their Relevance for Process Changes
Recently, a new generation of adaptive process management technology has emerged, which enables dynamic changes of composite services and process models respectively. This, in tur...
Chen Li, Manfred Reichert, Andreas Wombacher
ICDM
2008
IEEE
224views Data Mining» more  ICDM 2008»
16 years 1 months ago
A Non-parametric Approach to Pair-Wise Dynamic Topic Correlation Detection
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
Yang Song, Lu Zhang 0007, C. Lee Giles