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APIN
1998
139views more  APIN 1998»
13 years 7 months ago
Evolutionary Learning of Modular Neural Networks with Genetic Programming
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
Sung-Bae Cho, Katsunori Shimohara
APIN
1999
114views more  APIN 1999»
13 years 7 months ago
Evolutionary Approaches to Figure-Ground Separation
The problem of figure-ground separation is tackled from the perspective of combinatorial optimization. Previous attempts have used deterministic optimization techniques based on re...
Suchendra M. Bhandarkar, Xia Zeng
JIIS
2002
168views more  JIIS 2002»
13 years 7 months ago
Hidden Markov Models for Text Categorization in Multi-Page Documents
In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
Paolo Frasconi, Giovanni Soda, Alessandro Vullo
PRESENCE
2002
194views more  PRESENCE 2002»
13 years 7 months ago
Explorations in the Use of Augmented Reality for Geographic Visualization
In this paper we describe two explorations in the use of hybrid user interfaces for collaborative geographic data visualization. Our first interface combines three technologies; A...
Nicholas R. Hedley, Mark Billinghurst, Lori Postne...
TIT
2002
64views more  TIT 2002»
13 years 7 months ago
Performance of blind and group-blind multiuser detectors
Abstract--In blind and group-blind multiuser detection, different detectors can be designed using either the sample data covariance matrix directly or its eigencomponents. Due to f...
Anders Høst-Madsen, Xiaodong Wang