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» Iterated Nearest Neighbors and Finding Minimal Polytopes
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ICMCS
2006
IEEE
227views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Adaptive Dual AK-D Tree Search Algorithm for ICP Registration Applications
An algorithm for finding coupling points plays an important role in the Iterative Closest Point algorithm (ICP) which is widely used in registration applications in medical and 3-...
Jiann-Der Lee, Shih-Sen Hsieh, Chung-Hsien Huang, ...
BMCBI
2008
139views more  BMCBI 2008»
13 years 5 months ago
A topological transformation in evolutionary tree search methods based on maximum likelihood combining p-ECR and neighbor joinin
Background: Inference of evolutionary trees using the maximum likelihood principle is NP-hard. Therefore, all practical methods rely on heuristics. The topological transformations...
Maozu Guo, Jian-Fu Li, Yang Liu
ICML
2005
IEEE
14 years 6 months ago
An efficient method for simplifying support vector machines
In this paper we describe a new method to reduce the complexity of support vector machines by reducing the number of necessary support vectors included in their solutions. The red...
DucDung Nguyen, Tu Bao Ho
PAMI
2006
134views more  PAMI 2006»
13 years 5 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
CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
13 years 9 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang