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» A Generative Model Based Approach to Motion Segmentation
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168
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CGF
2010
161views more  CGF 2010»
15 years 3 months ago
HyperMoVal: Interactive Visual Validation of Regression Models for Real-Time Simulation
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
Harald Piringer, Wolfgang Berger, J. Krasser
CVPR
2009
IEEE
15 years 10 months ago
Removing partial blur in a single image
Removing image partial blur is of great practical importance. However, as existing recovery techniques usually assume a one-layer clear image model, they can not characterize the ...
Shengyang Dai, Ying Wu
137
Voted
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
15 years 9 months ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
137
Voted
EUROMICRO
2007
IEEE
15 years 5 months ago
Analysis of BPEL Data Dependencies
BPEL is a de-facto standard language for web service orchestration. It is a challenge to test BPEL processes automatically because of the complex features of the language. The cur...
Yongyan Zheng, Jiong Zhou, Paul Krause
136
Voted
ITNG
2010
IEEE
15 years 8 months ago
Applying Semantic Web Techniques to Reservoir Engineering: Challenges and Experiences from Event Modeling
—In reservoir engineering domain experts deal with many tasks and operations, ranging from reservoir simulation to well maintenance scheduling, with the goal of maximizing oil pr...
Tao Zhu, Amol Bakshi, Viktor K. Prasanna, Karthik ...