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KDD
2004
ACM
181views Data Mining» more  KDD 2004»
14 years 9 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett
CPAIOR
2005
Springer
14 years 2 months ago
Constraint Programming Based Column Generation for Employee Timetabling
The Employee Timetabling Problem (ETP) is a general class of problems widely encountered in service organizations (such as call centers for instance). Given a set of activities, a ...
Sophie Demassey, Gilles Pesant, Louis-Martin Rouss...
ECCV
2002
Springer
14 years 10 months ago
Multimodal Data Representations with Parameterized Local Structures
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
Ying Zhu, Dorin Comaniciu, Stuart C. Schwartz, Vis...
ICASSP
2011
IEEE
13 years 9 days ago
A fully automated 2-DE gel image analysis pipeline for high throughput proteomics
Image analysis is still considered as the bottleneck in 2D-gel based expression proteomics analysis for biomarkers discovery. We are presenting a new end-to-end image analysis pip...
Panagiotis Tsakanikas, Elias S. Manolakos
ICML
2002
IEEE
14 years 9 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...