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ICML
2005
IEEE
16 years 5 months ago
Learning Gaussian processes from multiple tasks
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
Kai Yu, Volker Tresp, Anton Schwaighofer
120
Voted
SIBGRAPI
2007
IEEE
15 years 11 months ago
Multiple Mice Tracking using a Combination of Particle Filter and K-Means
This paper presents a new approach to multiple objects tracking that combines particle filters and k-means. The approach has been tested under an important real world situation, ...
Wesley Nunes Gonçalves, João Bosco O...
ICPR
2002
IEEE
15 years 10 months ago
Tracking Multiple Animals in Wildlife Footage
We describe a method for tracking animals in wildlife footage. It uses a CONDENSATION particle filtering framework driven by learnt characteristics of specific animals. The key ...
David Tweed, Andrew Calway
113
Voted
ICPP
1999
IEEE
15 years 9 months ago
Performance Study of Token-Passing Protocol for Traffic Multiplicity in Optical Networks
This paper extended a mathematical technique to model the behaviour of token-passing protocol in a star-coupled wavelength-division multiplexing (WDM) optical network for traffic ...
S. Selvakennedy, Ashwani K. Ramani
CORR
2007
Springer
113views Education» more  CORR 2007»
15 years 5 months ago
Geometry and the complexity of matrix multiplication
We survey results in algebraic complexity theory, focusing on matrix multiplication. Our goals are (i.) to show how open questions in algebraic complexity theory are naturally pose...
J. M. Landsberg