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» Constrained Classification on Structured Data
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ICANN
2009
Springer
14 years 1 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
BMVC
2002
13 years 11 months ago
Improving architectural 3D reconstruction by plane and edge constraining
This paper presents new techniques for improving the structural quality of automatically acquired architectural 3D models. Common architectural features like parallelism and ortho...
H. Cantzler, Robert B. Fisher, Michel Devy
JMLR
2008
168views more  JMLR 2008»
13 years 8 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
MICCAI
2008
Springer
14 years 10 months ago
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
Michael Wels, Gustavo Carneiro, Alexander Aplas,...
CADE
2008
Springer
14 years 9 months ago
Automated Induction with Constrained Tree Automata
We propose a procedure for automated implicit inductive theorem proving for equational specifications made of rewrite rules with conditions and constraints. The constraints are int...
Adel Bouhoula, Florent Jacquemard