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ICPR
2010
IEEE
16 years 1 months ago
Dimension-Decoupled Gaussian Mixture Model for Short Utterance Speaker Recognition
The Gaussian Mixture Model (GMM) is often used in conjunction with Mel-frequency cepstral coefficient (MFCC) feature vectors for speaker recognition. A great challenge is to use ...
Thilo Stadelmann, Bernd Freisleben
PODC
2010
ACM
15 years 10 months ago
A modular approach to shared-memory consensus, with applications to the probabilistic-write model
We define two new classes of shared-memory objects: ratifiers, which detect agreement, and conciliators, which ensure agreement with some probability. We show that consensus can...
James Aspnes
AAAI
2010
15 years 8 months ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He
QEST
2010
IEEE
15 years 4 months ago
Fortuna: Model Checking Priced Probabilistic Timed Automata
We introduce Fortuna, the first tool for model checking priced probabilistic timed automata (PPTAs). Fortuna can handle the combination of real-time, probabilistic and cost feature...
Jasper Berendsen, David N. Jansen, Frits W. Vaandr...
ASPDAC
2001
ACM
105views Hardware» more  ASPDAC 2001»
15 years 10 months ago
Toward better wireload models in the presence of obstacles
Wirelength estimation techniques typically contain a site density function that enumerates all possible path sites for each wirelength in an architecture and an occupation probabil...
Chung-Kuan Cheng, Andrew B. Kahng, Bao Liu, Dirk S...