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TNN
2010
216views Management» more  TNN 2010»
14 years 4 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
ICASSP
2011
IEEE
14 years 1 months ago
Wavelet footprints for detection and sorting of extracellular neural action potentials
Spike detection and sorting is a fundamental step in the analysis of extracellular neural recording. Here, we propose a combined spike detection-feature extraction algorithm that ...
Ki Yong Kwon, Karim G. Oweiss
ICCV
2011
IEEE
13 years 10 months ago
Object Segmentation in Video: A Hierarchical Variational Approach for Turning Point Trajectories into Dense Regions
Point trajectories have emerged as a powerful means to obtain high quality and fully unsupervised segmentation of objects in video shots. They can exploit the long term motion dif...
Peter Ochs, Thomas Brox
CCGRID
2005
IEEE
15 years 3 months ago
Distributed market broker architecture for resource aggregation in grid computing environments
In order to allow every user to extract aggregated computational power from idle PCs in the Internet, we propose a distributed architecture to achieve a market based resource shar...
Morihiko Tamai, Naoki Shibata, Keiichi Yasumoto, M...
CVPR
2012
IEEE
13 years 9 days ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee