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IJCNN
2006
IEEE
16 years 16 days ago
In-Place Learning for Positional and Scale Invariance
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
Juyang Weng, Hong Lu, Tianyu Luwang, Xiangyang Xue
BVAI
2005
Springer
16 years 2 days ago
Learning Location Invariance for Object Recognition and Localization
A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to genera...
Gwendid T. van der Voort van der Kleij, Frank van ...
CORR
2002
Springer
89views Education» more  CORR 2002»
15 years 6 months ago
NetNeg: A Connectionist-Agent Integrated System for Representing Musical Knowledge
Thesystempresented here showsthe feasibility of modcling the knowledgeinvolved in a complexmusical activity by integrating sub-symbolicand symbolicprocesses. Thisresearch focuses ...
Claudia V. Goldman, Dan Gang, Jeffrey S. Rosensche...
CORR
2002
Springer
120views Education» more  CORR 2002»
15 years 6 months ago
A Comparison of Different Cognitive Paradigms Using Simple Animats in a Virtual Laboratory, with Implications to the Notion of C
In this thesis I present a virtual laboratory which implements five different models for controlling animats: a rule-based system, a behaviour-based system, a concept-based system...
Carlos Gershenson
ML
2000
ACM
157views Machine Learning» more  ML 2000»
15 years 6 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