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ICIP
2009
IEEE
14 years 9 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
CSL
2000
Springer
14 years 5 days ago
Continuous Functionals of Dependent Types and Equilogical Spaces
We show that dependent sums and dependent products of continuous parametrizations on domains with dense, codense, and natural totalities agree with dependent sums and dependent pro...
Andrej Bauer, Lars Birkedal
ML
2002
ACM
100views Machine Learning» more  ML 2002»
13 years 7 months ago
Structure in the Space of Value Functions
Solving in an efficient manner many different optimal control tasks within the same underlying environment requires decomposing the environment into its computationally elemental ...
David J. Foster, Peter Dayan
VTC
2007
IEEE
126views Communications» more  VTC 2007»
14 years 2 months ago
Symmetric Radial Basis Function Assisted Space-Time Equalisation for Multiple Receive-Antenna Aided Systems
— This constribution considers nonlinear space-time equalisation (STE) designed for single-input multiple-output (SIMO) systems. By exploiting the inherent symmetry of the underl...
Lajos Hanzo, Sheng Chen, S. Liu
ICASSP
2009
IEEE
14 years 2 months ago
Functional estimation in Hilbert space for distributed learning in wireless sensor networks
In this paper, we propose a distributed learning strategy in wireless sensor networks. Taking advantage of recent developments on kernel-based machine learning, we consider a new ...
Paul Honeine, Cédric Richard, José C...