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» A Simple Framework for Natural Animation of Digitized Models
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CVPR
2007
IEEE
14 years 11 months ago
Unsupervised Activity Perception by Hierarchical Bayesian Models
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
Xiaogang Wang, Xiaoxu Ma, Eric Grimson
ACL
2009
13 years 6 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
ICYCS
2008
IEEE
14 years 3 months ago
DSmT Qualitative Reasoning based on 2-Tuple Linguistic Representation Model
Most of modern systems for information retrieval, fusion and management have to deal more and more with information expressed quatitatively (by linguistic labels) since human repo...
Xinde Li, Xianzhong Dai, Jean Dezert, Florentin Sm...
SC
1995
ACM
14 years 16 days ago
Predicting Application Behavior in Large Scale Shared-memory Multiprocessors
In this paper we present an analytical-based framework for parallel program performance prediction. The main thrust of this work is to provide a means for treating realistic appli...
Karim Harzallah, Kenneth C. Sevcik
ECCV
2000
Springer
14 years 11 months ago
Model-Based Initialisation for Segmentation
The initialisation of segmentation methods aiming at the localisation of biological structures in medical imagery is frequently regarded as a given precondition. In practice, howev...
Christian Brechbühler, Gábor Szé...