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VISAPP
2008
15 years 5 months ago
Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation
In this paper we propose a method for continuous learning of simple visual concepts. The method continuously associates words describing observed scenes with automatically extracte...
Danijel Skocaj, Matej Kristan, Ales Leonardis
NIPS
2003
15 years 5 months ago
Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
Marc Toussaint
ANLP
1992
85views more  ANLP 1992»
15 years 5 months ago
Learning a Scanning Understanding for "Real-world" Library Categorization
This paper describes, compares, and evaluates three different approaches for learning a semantic classification of library titles: 1) syntactically condensed titles, 2) complete t...
Stefan Wermter
ICANN
2010
Springer
15 years 4 months ago
Kernel-Based Learning from Infinite Dimensional 2-Way Tensors
Abstract. In this paper we elaborate on a kernel extension to tensorbased data analysis. The proposed ideas find applications in supervised learning problems where input data have ...
Marco Signoretto, Lieven De Lathauwer, Johan A. K....
AMC
2007
138views more  AMC 2007»
15 years 4 months ago
An experimental comparison of machine learning for adaptive sketch recognition
Benefiting from advances in online sketchy shape recognition system could not be expected before the problem of its adaptability is well solved. In this paper, three methods of m...
Lisha Zhang, Zhengxing Sun