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» Approximating Component Selection
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110
Voted
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
16 years 4 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper
115
Voted
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 4 months ago
Data Mining for Typhoon Image Collection
This paper introduces the application of data mining methods to the analysis and prediction of the typhoon. The testbed for this research is the typhoon image collection that we e...
Asanobu Kitamoto
123
Voted
ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
15 years 10 months ago
Discriminative Mixed-Membership Models
Although mixed-membership models have achieved great success in unsupervised learning, they have not been widely applied to classification problems. In this paper, we propose a f...
Hanhuai Shan, Arindam Banerjee, Nikunj C. Oza
118
Voted
ACCV
2007
Springer
15 years 10 months ago
High Capacity Watermarking in Nonedge Texture Under Statistical Distortion Constraint
High-capacity image watermarking scheme aims at maximize bit rate of hiding information, neither eliciting perceptible image distortion nor facilitating special watermark attack. T...
Fan Zhang, Wenyu Liu, Chunxiao Liu
109
Voted
CBMS
2006
IEEE
15 years 9 months ago
A Preliminary Study of Respiratory Variations in the Photoplethysmogram during Lower Body Negative Pressure
Previous studies have shown that the photoplethysmogram (PPG) may be a useful tool for the noninvasive detection of hypovolemia. The focus has been on determining if frequency ana...
Suzanne Wendelken, Stephen Paul Linder, Sue McGrat...