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» Algorithms for subsequence combinatorics
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LCN
1994
IEEE
15 years 7 months ago
The Ethernet Capture Effect: Analysis and Solution
We analyze the behavior of the Ethernet in networks with a small number of active stations, and describe what is known as the Ethernet capture effect, where a station transmits co...
K. K. Ramakrishnan, Henry Yang
ECCV
2006
Springer
15 years 6 months ago
Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching
Abstract. A novel hybrid region-based and contour-based multiple object tracking model using optical flow based elastic matching is proposed. The proposed elastic matching model is...
Xingzhi Luo, Suchendra M. Bhandarkar
NIPS
2000
15 years 4 months ago
Generalized Belief Propagation
In an important recent paper, Yedidia, Freeman, and Weiss [11] showed that there is a close connection between the belief propagation algorithm for probabilistic inference and the...
Jonathan S. Yedidia, William T. Freeman, Yair Weis...
BMCBI
2007
175views more  BMCBI 2007»
15 years 3 months ago
CLUSS: Clustering of protein sequences based on a new similarity measure
Background: The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important. The challenge is to identify subfamilies...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski...
CVPR
2006
IEEE
16 years 5 months ago
Acceleration Strategies for Gaussian Mean-Shift Image Segmentation
Gaussian mean-shift (GMS) is a clustering algorithm that has been shown to produce good image segmentations (where each pixel is represented as a feature vector with spatial and r...
Miguel Á. Carreira-Perpiñán