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» Identifying Objects Using Cluster and Concept Analysis
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CVPR
2009
IEEE
16 years 6 months ago
Appearance-based Keypoint Clustering
We present an algorithm for clustering sets of detected interest points into groups that correspond to visually dis- tinct structure. Through the use of a suitable colour and tex...
Francisco J. Estrada, Pascal Fua, Sabine Süss...
BMCBI
2007
123views more  BMCBI 2007»
14 years 11 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
ICSM
2005
IEEE
15 years 4 months ago
Static Analysis of Object References in RMI-Based Java Software
Distributed applications provide numerous advantages related to software performance, reliability, interoperability, and extensibility. This paper focuses on distributed Java prog...
Mariana Sharp, Atanas Rountev
JSA
2006
82views more  JSA 2006»
14 years 11 months ago
A flocking based algorithm for document clustering analysis
ct 7 Social animals or insects in nature often exhibit a form of emergent collective behavior known as flocking. In this paper, 8 we present a novel Flocking based approach for doc...
Xiaohui Cui, Jinzhu Gao, Thomas E. Potok
BCB
2010
138views Bioinformatics» more  BCB 2010»
14 years 6 months ago
Comparative analysis of biclustering algorithms
Biclustering is a very popular method to identify hidden co-regulation patterns among genes. There are numerous biclustering algorithms designed to undertake this challenging task...
Doruk Bozdag, Ashwin S. Kumar, Ümit V. &Ccedi...