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ESANN
2007
15 years 9 months ago
Model Selection for Kernel Probit Regression
Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
Gavin C. Cawley
COCO
2006
Springer
93views Algorithms» more  COCO 2006»
15 years 11 months ago
Making Hard Problems Harder
We consider a general approach to the hoary problem of (im)proving circuit lower bounds. We define notions of hardness condensing and hardness extraction, in analogy to the corres...
Joshua Buresh-Oppenheim, Rahul Santhanam
204
Voted
CVPR
2007
IEEE
16 years 9 months ago
Segmenting Motions of Different Types by Unsupervised Manifold Clustering
We propose a novel algorithm for segmenting multiple motions of different types from point correspondences in multiple affine or perspective views. Since point trajectories associ...
Alvina Goh, René Vidal
ICASSP
2011
IEEE
14 years 11 months ago
Optimal wireless networks based on local channel state information
We consider distributed algorithms to optimize random access multihop wireless networks in the presence of fading. Since the associated optimization problem is neither convex nor ...
Yichuan Hu, Alejandro Ribeiro
CISS
2008
IEEE
16 years 2 months ago
Optimization via communication networks
— It has been known since the early 1990s that backpressure-type algorithms for communication networks (such as the Max-Weight algorithm) can be used to approximately solve stati...
Matthew Andrews