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ICML
2005
IEEE
14 years 10 months ago
Learning discontinuities with products-of-sigmoids for switching between local models
Sensorimotor data from many interesting physical interactions comprises discontinuities. While existing locally weighted learning approaches aim at learning smooth functions, we p...
Marc Toussaint, Sethu Vijayakumar
SAC
2006
ACM
14 years 3 months ago
Discretization from data streams: applications to histograms and data mining
Abstract. In this paper we propose a new method to perform incremental discretization. The basic idea is to perform the task in two layers. The first layer receives the sequence o...
João Gama, Carlos Pinto
VLSID
2007
IEEE
91views VLSI» more  VLSID 2007»
14 years 9 months ago
Reusing Learned Information in SAT-based ATPG
The robustness of engines for ATPG has to be improved to cope with the growing size of circuits. Recently, SAT-based ATPG approaches have been shown to be very robust even on larg...
Görschwin Fey, Rolf Drechsler, Tim Warode
CVPR
2007
IEEE
14 years 11 months ago
Incremental Linear Discriminant Analysis Using Sufficient Spanning Set Approximations
This paper presents a new incremental learning solution for Linear Discriminant Analysis (LDA). We apply the concept of the sufficient spanning set approximation in each update st...
Björn Stenger, Josef Kittler, Roberto Cipolla...
ICRA
2002
IEEE
110views Robotics» more  ICRA 2002»
14 years 2 months ago
Mobile Robot Localization using an Incremental Eigenspace Model
— When using appearance-based recognition for self-localization of mobile robots, the images obtained during the exploration of the environment need to be efficiently stored in t...
Matej Artac, Matjaz Jogan, Ales Leonardis