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» Prediction on Spike Data Using Kernel Algorithms
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IGARSS
2010
13 years 3 months ago
Calibrating probabilities for hyperspectral classification of rock types
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
Sildomar T. Monteiro, Richard J. Murphy
KDD
2007
ACM
144views Data Mining» more  KDD 2007»
14 years 9 months ago
Fast direction-aware proximity for graph mining
In this paper we study asymmetric proximity measures on directed graphs, which quantify the relationships between two nodes or two groups of nodes. The measures are useful in seve...
Hanghang Tong, Christos Faloutsos, Yehuda Koren
ECCV
2004
Springer
14 years 11 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
SDM
2009
SIAM
112views Data Mining» more  SDM 2009»
14 years 6 months ago
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
Frederik Janssen, Johannes Fürnkranz
SECON
2010
IEEE
13 years 7 months ago
Leveraging Cognitive Radios for Effective Communications over Water
Wireless communications over water may suffer from serious multipath fading due to strong specular reflections from conducting water surfaces. Cognitive radios enable dynamic spect...
Jian Tang, Li Zhang, Richard S. Wolff, Weiyi Zhang