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JMLR
2002
111views more  JMLR 2002»
15 years 5 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
CRV
2005
IEEE
104views Robotics» more  CRV 2005»
15 years 11 months ago
A Hierarchical Non-Parametric Method for Capturing Non-Rigid Deformations
We present a novel approach for measuring image similarity based on the composition of parts. The measure identifies common subregions between the images at multiple sizes, and e...
Ady Ecker, Shimon Ullman
ICDCSW
2005
IEEE
15 years 11 months ago
Bandwidth Clustering for Reliable and Prioritized Network Routing Using Split Agent-Based Method
Recent researches have highlighted the importance of developing a network with distributed problem solving abilities thus enhancing reliability with equal share of network resourc...
Constandinos X. Mavromoustakis, Helen D. Karatza
BMCBI
2007
265views more  BMCBI 2007»
15 years 6 months ago
Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
Tobias Wittkop, Jan Baumbach, Francisco P. Lobo, S...
ICDAR
2009
IEEE
15 years 4 months ago
Analysis of Book Documents' Table of Content Based on Clustering
Table of contents (TOC) recognition has attracted a great deal of attention in recent years. After reviewing the merits and drawbacks of the existing TOC recognition methods, we h...
Liangcai Gao, Zhi Tang, Xiaofan Lin, Xin Tao, Yimi...