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CCIA
2008
Springer
14 years 27 days ago
On the Dimensions of Data Complexity through Synthetic Data Sets
Abstract. This paper deals with the characterization of data complexity and the relationship with the classification accuracy. We study three dimensions of data complexity: the len...
Núria Macià, Ester Bernadó-Ma...
SCIA
2011
Springer
341views Image Analysis» more  SCIA 2011»
13 years 1 months ago
Interactive Image Segmentation Using Level Sets and Dempster-Shafer Theory of Evidence
Abstract. Variational frameworks based on level set methods are popular for the general problem of image segmentation. They combine different feature channels in an energy minimiz...
Björn Scheuermann, Bodo Rosenhahn
IJCNN
2006
IEEE
14 years 5 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
EWC
2002
90views more  EWC 2002»
13 years 10 months ago
An Efficient Adaptive Procedure for Three-Dimensional Fragmentation Simulations
We present a simple set of data structures, and a collection of methods for constructing and updating the structures, designed to support the use of cohesive elements in simulation...
Anna Pandolfi, Michael Ortiz
NIPS
2003
14 years 8 days ago
Salient Boundary Detection using Ratio Contour
This paper presents a novel graph-theoretic approach, named ratio contour, to extract perceptually salient boundaries from a set of noisy boundary fragments detected in real image...
Song Wang, Toshiro Kubota, Jeffrey Mark Siskind