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EMMCVPR
2001
Springer
15 years 11 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino
PR
2010
129views more  PR 2010»
15 years 5 months ago
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
WICON
2010
15 years 4 months ago
TRCCIT: Tunable Reliability with Congestion Control for Information Transport in Wireless Sensor Networks
A core functionality of Wireless Sensor Networks (WSNs) is to transport information from the network to the application/user. The evolvable application reliability requirements and...
Neeraj Suri, Faisal Karim Shaikh, Abdelmajid Kheli...
COLING
2010
15 years 1 months ago
Bridging Topic Modeling and Personalized Search
This work presents a study to bridge topic modeling and personalized search. A probabilistic topic model is used to extract topics from user search history. These topics can be se...
Wei Song, Yu Zhang, Ting Liu, Sheng Li
PRL
2011
15 years 1 months ago
Object recognition using proportion-based prior information: Application to fisheries acoustics
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher