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TEC
2008
98views more  TEC 2008»
13 years 7 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
JODL
2006
116views more  JODL 2006»
13 years 7 months ago
Appearance and functionality of electronic books
We present the results and the lessons learned from two separate and independent studies into the design, development, and evaluation of electronic books for information access: th...
Fabio Crestani, Monica Landoni, Massimo Melucci
IJCNN
2000
IEEE
13 years 11 months ago
Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
Sander M. Bohte, Johannes A. La Poutré, Joo...
JMLR
2010
185views more  JMLR 2010»
13 years 2 months ago
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
We introduce a simple order-based greedy heuristic for learning discriminative structure within generative Bayesian network classifiers. We propose two methods for establishing an...
Franz Pernkopf, Jeff A. Bilmes
ECCV
2010
Springer
14 years 12 hour ago
Learning to Recognize Objects from Unseen Modalities
Abstract. In this paper we investigate the problem of exploiting multiple sources of information for object recognition tasks when additional modalities that are not present in the...