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98
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ICML
2007
IEEE
16 years 1 months ago
A recursive method for discriminative mixture learning
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
Minyoung Kim, Vladimir Pavlovic
70
Voted
KDD
2007
ACM
112views Data Mining» more  KDD 2007»
16 years 1 months ago
Statistical change detection for multi-dimensional data
This paper deals with detecting change of distribution in multi-dimensional data sets. For a given baseline data set and a set of newly observed data points, we define a statistic...
Xiuyao Song, Mingxi Wu, Christopher M. Jermaine, S...
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
16 years 1 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
116
Voted
AVBPA
2005
Springer
320views Biometrics» more  AVBPA 2005»
15 years 6 months ago
A Principled Approach to Score Level Fusion in Multimodal Biometric Systems
A multimodal biometric system integrates information from multiple biometric sources to compensate for the limitations in performance of each individual biometric system. We propos...
Sarat C. Dass, Karthik Nandakumar, Anil K. Jain
95
Voted
CSC
2009
15 years 1 months ago
Improving Random Walk Performance
Random walk simulation is employed in many experimental algorithmic applications. Efficient execution on modern computer architectures demands that the random walk be implemented t...
Ilya Safro, Paul D. Hovland, Jaewook Shin, Michell...