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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 10 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICML
2004
IEEE
16 years 6 months ago
A needle in a haystack: local one-class optimization
This paper addresses the problem of finding a small and coherent subset of points in a given data. This problem, sometimes referred to as one-class or set covering, requires to fi...
Koby Crammer, Gal Chechik
CVPR
2010
IEEE
16 years 2 months ago
A Game-Theoretic Approach to Fine Surface Registration without Initial Motion Estimation
Surface registration is a fundamental step in the reconstruction of three-dimensional objects. This is typically a two step process where an initial coarse motion estimation is fo...
Andrea Albarelli, Andrea Torsello, Emanuele Rodol
ESTIMEDIA
2009
Springer
16 years 9 days ago
System-level MP-SoC design space exploration using tree visualization
— The complexity of today’s embedded systems forces designers to model and simulate systems and their components to explore the wide range of design choices. Such design space ...
Toktam Taghavi, Andy D. Pimentel, Mark Thompson
CIAC
2010
Springer
252views Algorithms» more  CIAC 2010»
15 years 10 months ago
On the Number of Higher Order Delaunay Triangulations
Higher order Delaunay triangulations are a generalization of the Delaunay triangulation which provides a class of well-shaped triangulations, over which extra criteria can be optim...
Dieter Mitsche, Maria Saumell, Rodrigo I. Silveira