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JAIR
1998
198views more  JAIR 1998»
15 years 2 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
107
Voted
GIS
2010
ACM
15 years 1 months ago
Exploiting local node cache in top-k queries within wireless sensor networks
Top-k queries are a popular type of query in Wireless Sensor Networks. Typical solutions rely on coordinated root-tonodes and nodes-to-root messages and on maintaining filters at...
Johannes Niedermayer, Mario A. Nascimento, Matthia...
IGARSS
2010
15 years 14 days ago
Monitoring air and Land Surface Temperatures from remotely sensed data for climate-human health applications
This study proposes a methodology to infer maximum air temperature from space using observations from polar orbiting satellite MODIS. A previous study showed that minimum Land Sur...
Pietro Ceccato, Christelle Vancutsem, Marouane Tem...
140
Voted
ICB
2009
Springer
173views Biometrics» more  ICB 2009»
15 years 9 days ago
Bayesian Networks to Combine Intensity and Color Information in Face Recognition
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
Guillaume Heusch, Sébastien Marcel
105
Voted
ICCV
2009
IEEE
15 years 9 days ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...