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» A Clustering Algorithm Based Absorbing Nearest Neighbors
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JCB
2007
92views more  JCB 2007»
13 years 7 months ago
Neighbor Joining Algorithms for Inferring Phylogenies via LCA Distances
Reconstructing phylogenetic trees efficiently and accurately from distance estimates is an ongoing challenge in computational biology from both practical and theoretical consider...
Ilan Gronau, Shlomo Moran
EDBT
2008
ACM
128views Database» more  EDBT 2008»
14 years 7 months ago
Processing transitive nearest-neighbor queries in multi-channel access environments
Wireless broadcast is an efficient way for information dissemination due to its good scalability [10]. Existing works typically assume mobile devices, such as cell phones and PDAs...
Xiao Zhang, Wang-Chien Lee, Prasenjit Mitra, Baihu...
PAMI
2006
134views more  PAMI 2006»
13 years 7 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee
VC
2008
135views more  VC 2008»
13 years 7 months ago
A new feature-based method for robust and efficient rigid-body registration of overlapping point clouds
Abstract We propose a new featurebased registration method for rigidbody alignment of overlapping point clouds (PCs) efficiently under the influence of noise and outliers. The prop...
Cagatay Basdogan, A. Cengiz Oztireli
HIS
2004
13 years 9 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...