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JMLR
2008
209views more  JMLR 2008»
13 years 9 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
BMVC
2010
13 years 7 months ago
Discriminative Topics Modelling for Action Feature Selection and Recognition
This paper presents a framework for recognising realistic human actions captured from unconstrained environments. The novelties of this work lie in three aspects. First, we propos...
Matteo Bregonzio, Jian Li, Shaogang Gong, Tao Xian...
ICPPW
2009
IEEE
14 years 3 months ago
SenSORCER: A Framework for Managing Sensor-Federated Networks
—Despite many technology advances, the limited computing power of sensors encumber them from taking part in service-oriented architectures. In recent years, the sensornetworking ...
Sujit Bhosale, Michael W. Sobolewski
ECBS
2009
IEEE
193views Hardware» more  ECBS 2009»
13 years 6 months ago
CQML: Aspect-Oriented Modeling for Modularizing and Weaving QoS Concerns in Component-Based Systems
Current domain-specific modeling (DSM) frameworks for designing component-based systems often consider the system's structural and behavioral concerns as the two dominant con...
Sumant Tambe, Akshay Dabholkar, Aniruddha S. Gokha...
LICS
2010
IEEE
13 years 7 months ago
Abstracting the Differential Semantics of Rule-Based Models: Exact and Automated Model Reduction
ing the differential semantics of rule-based models: exact and automated model reduction (Invited Lecture) Vincent Danos∗§, J´erˆome Feret†, Walter Fontana‡, Russell Harme...
Vincent Danos, Jérôme Feret, Walter F...