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» Classification-based objective functions
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110
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ICPR
2002
IEEE
15 years 7 months ago
Contour Features for Colposcopic Image Classification by Artificial Neural Networks
This article presents colposcopic image classification based on contour parameters used in a comparison study of different artificial neural networks and the knearest neighbors re...
Isabelle Claude, Renaud Winzenrieth, Philippe Poul...
EOR
2006
65views more  EOR 2006»
15 years 2 months ago
Self-organizing maps could improve the classification of Spanish mutual funds
In this paper, we apply nonlinear techniques (Self-Organizing Maps, k-nearest neighbors and the k-means algorithm) to evaluate the official Spanish mutual funds classification. Th...
David Moreno, Paulina Marco, Ignacio Olmeda
119
Voted
TSD
2010
Springer
15 years 12 days ago
Listening-Test-Based Annotation of Communicative Functions for Expressive Speech Synthesis
This paper is focused on the evaluation of listening test that was realized with a view to objectively annotate expressive speech recordings and further develop a limited domain ex...
Martin Gruber, Jindrich Matousek
94
Voted
IJCV
2011
109views more  IJCV 2011»
14 years 9 months ago
Measuring and Predicting Object Importance
How important is a particular object in a photograph of a complex scene? We propose a definition of importance and present two methods for measuring object importance from human o...
Merrielle Spain, Pietro Perona
SYNTHESE
2008
85views more  SYNTHESE 2008»
15 years 2 months ago
Objective Bayesianism with predicate languages
Objective Bayesian probability is often defined over rather simple domains, e.g., finite event spaces or propositional languages. This paper investigates the extension of objectiv...
Jon Williamson