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» A General Method for Feature Matching and Model Extraction
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103
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CVPR
2006
IEEE
16 years 5 months ago
Pursuing Informative Projection on Grassmann Manifold
Inspired by the underlying relationship between classification capability and the mutual information, in this paper, we first establish a quantitative model to describe the inform...
Dahua Lin, Shuicheng Yan, Xiaoou Tang
126
Voted
IJCNN
2008
IEEE
15 years 10 months ago
Incremental Common Spatial Pattern algorithm for BCI
— A major challenge in applying machine learning methods to Brain-Computer Interfaces (BCIs) is to overcome the on-line non-stationarity of the data blocks. An effective BCI syst...
Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Jie Li
CVPR
2012
IEEE
13 years 5 months ago
Learning to segment dense cell nuclei with shape prior
We study the problem of segmenting multiple cell nuclei from GFP or Hoechst stained microscope images with a shape prior. This problem is encountered ubiquitously in cell biology ...
Xinghua Lou, Ullrich Köthe, Jochen Wittbrodt,...
135
Voted
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
15 years 10 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic
147
Voted
HPCC
2007
Springer
15 years 9 months ago
A Complex Network-Based Approach for Job Scheduling in Grid Environments
Many optimization techniques have been adopted for efficient job scheduling in grid computing, such as: genetic algorithms, simulated annealing and stochastic methods. Such techni...
Renato Porfirio Ishii, Rodrigo Fernandes de Mello,...