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» On the Margin Explanation of Boosting Algorithms
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ICML
2003
IEEE
14 years 6 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
SMI
2007
IEEE
192views Image Analysis» more  SMI 2007»
14 years 18 hour ago
Multivariate Density-Based 3D Shape Descriptors
We address the 3D object retrieval problem using multivariate density-based shape descriptors. Considering the fusion of first and second order local surface information, we cons...
Ceyhun Burak Akgül, Bülent Sankur, Franc...
RECOMB
2005
Springer
14 years 6 months ago
Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions
Many important cellular response mechanisms are activated when a peptide binds to an appropriate receptor. In the immune system, the recognition of pathogen peptides begins when th...
Chen Yanover, Tomer Hertz
MICCAI
2009
Springer
14 years 7 months ago
MKL for Robust Multi-modality AD Classification
We study the problem of classifying mild Alzheimer's disease (AD) subjects from healthy individuals (controls) using multi-modal image data, to facilitate early identification...
Chris Hinrichs, Vikas Singh, Guofan Xu, Sterlin...
CORR
2010
Springer
175views Education» more  CORR 2010»
13 years 2 months ago
Improving the Performance of maxRPC
Max Restricted Path Consistency (maxRPC) is a local consistency for binary constraints that can achieve considerably stronger pruning than arc consistency. However, existing maxRPC...
Thanasis Balafoutis, Anastasia Paparrizou, Kostas ...