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101
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NIPS
2003
15 years 1 months ago
Error Bounds for Transductive Learning via Compression and Clustering
This paper is concerned with transductive learning. Although transduction appears to be an easier task than induction, there have not been many provably useful algorithms and boun...
Philip Derbeko, Ran El-Yaniv, Ron Meir
101
Voted
ICPPW
2003
IEEE
15 years 5 months ago
Parallelization of Cellular Neural Networks for Image Processing on Cluster Architectures
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
Thomas Weishäupl, Erich Schikuta
83
Voted
PERCOM
2003
ACM
16 years 1 days ago
WLAN Location Determination via Clustering and Probability Distributions
We present a WLAN location determination technique, the Joint Clustering technique, that uses (1) signal strength probability distributions to address the noisy wireless channel, ...
Ashok K. Agrawala, A. Udaya Shankar
94
Voted
CANDC
2007
ACM
15 years 14 days ago
Dynamical characteristics of bacteria clustering by self-generated attractants
Motivated by the recent work on Escherichia coli bacteria clustering [Park, S., Wolanin, P.M., Yuzbashyan, E.A., Lin, H., Darnton, N.C., Stock, J.B., Silberzan, P., Austin, R., 20...
MunJu Kim, Songjoon Baek, Sung Hoon Jung, Kwang-Hy...
109
Voted
CIKM
2003
Springer
15 years 5 months ago
Tracking changes in user interests with a few relevance judgments
Keeping track of changes in user interests from a document stream with a few relevance judgments is not an easy task. To tackle this problem, we propose a novel method that integr...
Dwi H. Widyantoro, Thomas R. Ioerger, John Yen