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» Learning Overcomplete Representations
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ANLP
1992
85views more  ANLP 1992»
15 years 2 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
94
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ICANN
2010
Springer
15 years 1 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 29 days 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
CORR
2011
Springer
222views Education» more  CORR 2011»
14 years 4 months ago
Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs
Abstract. We propose an extension of the Restricted Boltzmann Machine (RBM) that allows the joint shape and appearance of foreground objects in cluttered images to be modeled indep...
Nicolas Heess, Nicolas Le Roux, John M. Winn
192
Voted
ICCCI
2011
Springer
14 years 13 days ago
Evolving Equilibrium Policies for a Multiagent Reinforcement Learning Problem with State Attractors
Multiagent reinforcement learning problems are especially difficult because of their dynamism and the size of joint state space. In this paper a new benchmark problem is proposed, ...
Florin Leon