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» Vectorization with the Voronoi L-diagram
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ICANN
2009
Springer
13 years 11 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
IJCV
2006
105views more  IJCV 2006»
13 years 7 months ago
A Metric Approach to Vector-Valued Image Segmentation
We address the issue of low-level segmentation of vector-valued images, focusing on the case of color natural images. The proposed approach relies on the formulation of the problem...
Pablo Andrés Arbeláez, Laurent D. Co...
ICASSP
2011
IEEE
12 years 10 months ago
Using residual vector quantization for image content classification
Multistage residual vector quantizers (RVQ) with optimal direct sum decoder codebooks have been successfully designed and implemented for data compression. Due to its multistage s...
Syed Irteza Ali Khan, Christopher F. Barnes
SISAP
2008
IEEE
153views Data Mining» more  SISAP 2008»
14 years 1 months ago
Counting Distance Permutations
Distance permutation indexes support fast proximity searching in high-dimensional metric spaces. Given some fixed reference sites, for each point in a database the index stores a...
Matthew Skala
ICRA
2002
IEEE
176views Robotics» more  ICRA 2002»
13 years 12 months ago
Coverage Control for Mobile Sensing Networks
— This paper describes decentralized control laws for the coordination of multiple vehicles performing spatially distributed tasks. The control laws are based on a gradient desce...
Jorge Cortés, Sonia Martínez, Timur ...