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165
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WSOM
2009
Springer
15 years 8 months ago
Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood
Abstract. The distribution of a class of objects, such as images depicting a specific topic, can be studied by observing the best-matching units (BMUs) of the objects’ feature v...
Mats Sjöberg, Jorma Laaksonen
124
Voted
IROS
2008
IEEE
125views Robotics» more  IROS 2008»
15 years 10 months ago
Neighborhood denoising for learning high-dimensional grasping manifolds
— Human control of high degree-of-freedom robotic systems, e.g. anthropomorphic robot hands, is often difficult due to the overwhelming number of variables that need to be speci...
Aggeliki Tsoli, Odest Chadwicke Jenkins
121
Voted
ACISICIS
2007
IEEE
15 years 10 months ago
A Hybrid Simulated Annealing with Kempe Chain Neighborhood for the University Timetabling Problem
This paper addresses the problem of finding a feasible solution for the University Course Timetabling Problem (UCTP), i.e. a solution that satisfies all the so-called hard const...
Mauritsius Tuga, Regina Berretta, Alexandre Mendes
142
Voted
IJON
2010
152views more  IJON 2010»
15 years 2 months ago
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data
Due to the tremendous increase of electronic information with respect to the size of data sets as well as their dimension, dimension reduction and visualization of high-dimensiona...
Kerstin Bunte, Barbara Hammer, Axel Wismüller...
162
Voted
PAMI
2008
391views more  PAMI 2008»
15 years 3 months ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha