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» Efficient Algorithms for Universal Portfolios
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ITSL
2008
15 years 1 months ago
An Empirical Comparison of NML Clustering Algorithms
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Petri Kontkanen, Petri Myllymäki
SSPR
2004
Springer
15 years 5 months ago
Optimizing Classification Ensembles via a Genetic Algorithm for a Web-Based Educational System
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
CVPR
2009
IEEE
16 years 6 months ago
A Convex Relaxation Approach for Computing Minimal Partitions
In this work we propose a convex relaxation approach for computing minimal partitions. Our approach is based on rewriting the minimal partition problem (also known as Potts mode...
Thomas Pock (Graz University of Technology), Anton...
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ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
16 years 4 months ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...
SAMOS
2004
Springer
15 years 5 months ago
A Novel Data-Path for Accelerating DSP Kernels
A high-performance data-path to implement DSP kernels is proposed in this paper. The data-path is based on a flexible, universal, and regular component to optimally exploiting both...
Michalis D. Galanis, George Theodoridis, Spyros Tr...