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CVPR
2010
IEEE
16 years 2 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
ECAL
2005
Springer
16 years 23 hour ago
Artificial Homeostatic System: A Novel Approach
Abstract. Many researchers are developing frameworks inspired by natural, especially biological, systems to solve complex real-world problems. This work extends previous work in th...
Patrícia Amâncio Vargas, Renan C. Moi...
SIGPRO
2008
106views more  SIGPRO 2008»
15 years 6 months ago
Propagator-based methods for recursive subspace model identification
The problem of the online identification of multi-input multi-output (MIMO) state-space models in the framework of discrete-time subspace methods is considered in this paper. Seve...
Guillaume Mercère, Laurent Bako, Sté...
CAEPIA
2007
Springer
16 years 20 days ago
Fast and Informed Action Selection for Planning with Sensing
Consider a robot whose task is to pick up some colored balls from a grid, taking the red balls to a red spot, the blue balls to a blue spot and so on, one by one, without knowing e...
Alexandre Albore, Héctor Palacios, Hector G...
SIAMJO
2010
92views more  SIAMJO 2010»
15 years 1 months ago
Inexact Proximal Point Methods for Variational Inequality Problems
We present a new family of proximal point methods for solving monotone variational inequalities. Our algorithm has a relative error tolerance criterion in solving the proximal subp...
Regina Sandra Burachik, Joydeep Dutta