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ICASSP
2011
IEEE
14 years 10 months ago
Speaker recognition using multiple kernel learning based on conditional entropy minimization
We applied a multiple kernel learning (MKL) method based on information-theoretic optimization to speaker recognition. Most of the kernel methods applied to speaker recognition sy...
Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru...
ISBI
2011
IEEE
14 years 10 months ago
Hippocampus segmentation using a stable maximum likelihood classifier ensemble algorithm
We develop a new algorithm to segment the hippocampus from MR images. Our method uses a new classifier ensemble algorithm to correct segmentation errors produced by a multi-atlas...
Hongzhi Wang, Jung Wook Suh, Sandhitsu R. Das, Mur...
ICDT
2011
ACM
232views Database» more  ICDT 2011»
14 years 10 months ago
(Approximate) uncertain skylines
Given a set of points with uncertain locations, we consider the problem of computing the probability of each point lying on the skyline, that is, the probability that it is not do...
Peyman Afshani, Pankaj K. Agarwal, Lars Arge, Kasp...
BIOSTEC
2011
201views Healthcare» more  BIOSTEC 2011»
14 years 6 months ago
Aal@home: A New Home Care Wireless Biosignal Monitoring Tool for Ambient Assisted Living
In this article we describe a new wireless biosignal system which monitors in a long-term basis, the users at their homes. The system consists of wearable sensors that measure hear...
Joana Sousa, Susana Palma, Hugo Silva, Hugo Gamboa
DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
16 years 1 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer
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