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ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Manifold learning, a promised land or work in progress?
ABSTRACT In this paper, we report our experiments using a realworld image dataset to examine the effectiveness of Isomap, LLE and KPCA. The 1,897-image dataset we used consists of ...
Mei-Chen Yeh, I-Hsiang Lee, Gang Wu, Yi Wu, Edward...
VLSISP
2010
254views more  VLSISP 2010»
13 years 5 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
IWCMC
2009
ACM
14 years 2 days ago
Cross-layer resource allocation scheme for multi-band high rate UWB systems
Abstract- In this paper, we investigate the use of a crosslayer allocation mechanism for the high-rate ultra-wideband (UWB) systems. The aim of this paper is twofold. First, throug...
Ayman Khalil, Matthieu Crussière, Jean-Fran...
ISMB
2000
13 years 8 months ago
Intelligent Aids for Parallel Experiment Planning and Macromolecular Crystallization
This paper presents a framework called Parallel Experiment Planning (PEP) that is based on an abstraction of how experiments are performed in the domain of macromolecular crystall...
Vanathi Gopalakrishnan, Bruce G. Buchanan, John M....
AUSAI
2004
Springer
13 years 11 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
Stefan Mutter, Mark Hall, Eibe Frank