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CTW
2002
91views more  CTW 2002»
15 years 6 months ago
Can We Ever Escape from Data Overload? A Cognitive Systems Diagnosis
ive. This characterization leads to model-based abstractions and representation design techniques as potential solutions. Many of the existing approaches to coping with data overlo...
David D. Woods, Emily S. Patterson, Emilie M. Roth
JAIR
2000
102views more  JAIR 2000»
15 years 6 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
KAIS
2000
106views more  KAIS 2000»
15 years 6 months ago
FANNC: A Fast Adaptive Neural Network Classifier
In this paper, a fast adaptive neural network classifier named FANNC is proposed. FANNC exploits the advantages of both adaptive resonance theory and field theory. It needs only on...
Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen
TPDS
1998
98views more  TPDS 1998»
15 years 5 months ago
A Basic-Cycle Calculation Technique for Efficient Dynamic Data Redistribution
—Array redistribution is usually required to enhance algorithm performance in many parallel programs on distributed memory multicomputers. Since it is performed at run-time, ther...
Yeh-Ching Chung, Ching-Hsien Hsu, Sheng-Wen Bai
MVA
2007
158views Computer Vision» more  MVA 2007»
15 years 5 months ago
Hybrid object labelling in digital images
The application of a technique for labelling connected components based on the classical recursive technique is studied. The recursive approach permits labelling, counting, and cha...
Julio Martín-Herrero