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ICPR
2006
IEEE
16 years 24 days ago
Identification of degraded traffic sign symbols by a generative learning method
We present a novel training method for recognizing traffic sign symbols undergoing image degradations. In order to cope with the degradations, it is desirable to use similarly deg...
Hiroshi Murase, Hiroyuki Ishida, Ichiro Ide, Tomok...
90
Voted
ICANN
2007
Springer
15 years 5 months ago
Boosting Unsupervised Competitive Learning Ensembles
Topology preserving mappings are great tools for data visualization and inspection in large datasets. This research presents a combination of several topology preserving mapping mo...
Emilio Corchado, Bruno Baruque, Hujun Yin
FLAIRS
2006
15 years 1 months ago
Using Active Relocation to Aid Reinforcement Learning
We propose a new framework for aiding a reinforcement learner by allowing it to relocate, or move, to a state it selects so as to decrease the number of steps it needs to take in ...
Lilyana Mihalkova, Raymond J. Mooney
IJCAI
1993
15 years 1 months ago
Reducing Ambiguity by Learning Assembly Specific Behaviour
In this paper we present a technique for automatically generating constraints on parameter derivatives that reduce ambiguity in the behaviour prediction. Starting with a behaviour...
Bert Bredeweg, Cis Schut
CORR
2010
Springer
141views Education» more  CORR 2010»
14 years 10 months ago
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions
Let us assume that f is a continuous function defined on the unit ball of Rd , of the form f(x) = g(Ax), where A is a k×d matrix and g is a function of k variables for k ≪ d. ...
Massimo Fornasier, Karin Schnass, Jan Vybír...