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LION
2009
Springer
129views Optimization» more  LION 2009»
16 years 25 days ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
IVC
2000
182views more  IVC 2000»
15 years 6 months ago
Multithresholding of color and gray-level images through a neural network technique
One of the most frequently used methods in image processing is thresholding. This can be a highly efficient means of aiding the interpretation of images. A new technique suitable ...
Nikos Papamarkos, Charalambos Strouthopoulos, Ioan...
ICPR
2002
IEEE
16 years 7 months ago
Self-Calibration and Neural Network Implementation of Photometric Stereo
This paper describes a new approach to neural network implementation of photometric stereo for a rotational object with non-uniform reflectance factor. Three input images are acqu...
Yuji Iwahori, Yumi Watanabe, Robert J. Woodham, Ak...
AIIA
2001
Springer
15 years 10 months ago
Wide Coverage Incremental Parsing by Learning Attachment Preferences
This paper presents a novel method for wide coverage parsing using an incremental strategy, which is psycholinguistically motivated. A recursive neural network is trained on treeba...
Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi,...
ICRA
2009
IEEE
151views Robotics» more  ICRA 2009»
15 years 4 months ago
Surface identification using simple contact dynamics for mobile robots
This paper describes an approach to surface identification in the context of mobile robotics, applicable to supervised and unsupervised learning. The identification is based on ana...
Philippe Giguère, Gregory Dudek