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» The Dark Side of Object Learning: Learning Objects
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JMLR
2008
95views more  JMLR 2008»
13 years 9 months ago
Learning Similarity with Operator-valued Large-margin Classifiers
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
Andreas Maurer
SPATIALCOGNITION
1998
Springer
14 years 1 months ago
Judging Spatial Relations from Memory
Representations and processes involved in judgments of spatial relations after route learning are investigated. The main objective is to decide which relations are explicitly repre...
Rainer Rothkegel, Karl Friedrich Wender, Sabine Sc...
ML
2000
ACM
157views Machine Learning» more  ML 2000»
13 years 9 months ago
A Multistrategy Approach to Classifier Learning from Time Series
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
William H. Hsu, Sylvian R. Ray, David C. Wilkins
ICONIP
2004
13 years 10 months ago
A Connectionist Account of Ontological Boundary Shifting
Previous research on children's categorizations has suggested that children use perceptual and conceptual knowledge to generalize object names. Especially, the relation betwee...
Shohei Hidaka, Jun Saiki
ICAPR
2009
Springer
13 years 6 months ago
Online Improved Eigen Tracking
We present a novel predictive statistical framework to improve the performance of an Eigen Tracker which uses fast and efficient eigen space updates to learn new views of the obje...
Subarna Tripathi, Santanu Chaudhury, Sumantra Dutt...