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BIODATAMINING
2008
96views more  BIODATAMINING 2008»
13 years 10 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
ECCV
2008
Springer
15 years 5 days ago
GeoS: Geodesic Image Segmentation
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data. The segmentation problem is cast as approximate energy minimization ...
Antonio Criminisi, Toby Sharp, Andrew Blake
IMC
2007
ACM
13 years 11 months ago
Passive online rogue access point detection using sequential hypothesis testing with TCP ACK-pairs
Rogue (unauthorized) wireless access points pose serious security threats to local networks. In this paper, we propose two online algorithms to detect rogue access points using se...
Wei Wei, Kyoungwon Suh, Bing Wang, Yu Gu, Jim Kuro...
ICDM
2005
IEEE
135views Data Mining» more  ICDM 2005»
14 years 3 months ago
Bit Reduction Support Vector Machine
Abstract— Support vector machines are very accurate classifiers and have been widely used in many applications. However, the training and to a lesser extent prediction time of s...
Tong Luo, Lawrence O. Hall, Dmitry B. Goldgof, And...
ICIP
2001
IEEE
14 years 12 months ago
Moving target tracking algorithm based on the confidence measure of motion vectors
Change detection using difference picture has been used to detect the location of moving targets and to track them. This method needs the assumption of static camera, and the glob...
Jin-Sung Lee, Kwang-Yeon Rhee, Seong-Dae Kim