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NIPS
2001
15 years 8 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
ICMCS
2005
IEEE
112views Multimedia» more  ICMCS 2005»
16 years 6 days ago
Data prefetching for smooth navigation of large scale JPEG 2000 images
Remote access to large scale images arouses a growing interest in fields such as Medical Imagery or Remote Sensing. This raises the need for algorithms guaranteeing navigation sm...
Antonin Descampe, Jihong Ou, Philippe Chevalier, B...
CAISE
2005
Springer
16 years 5 days ago
An Object-Relational Approach to the Representation of Multi-granular Spatio-Temporal Data
The notion of spatio-temporal multi-granularity is fundamental when modeling objects in GIS applications in that it supports the representation of the temporal evolutions of these ...
Elisa Bertino, Dolores Cuadra, Paloma Martí...
CONTEXT
2005
Springer
16 years 4 days ago
An Approach to Data Fusion for Context Awareness
We propose and develop an approach modeled with multi-attribute utility theory for sensor fusion in context-aware environments. Our approach is distinguished from existing general ...
Amir Padovitz, Seng Wai Loke, Arkady B. Zaslavsky,...
ICCS
2004
Springer
16 years 2 hour ago
Dynamic-Data-Driven Real-Time Computational Mechanics Environment
Abstract. The proliferation of sensor networks in various areas of technology has enabled real-time behavioral monitoring of various physical systems in various length and time sca...
John Michopoulos, Charbel Farhat, Elias N. Houstis