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» Parameterized Complexity and Approximation Algorithms
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ICMCS
2006
IEEE
117views Multimedia» more  ICMCS 2006»
16 years 12 days ago
Distributed SVM Applied to Image Classification
This paper proposes an algorithm for distributed classification, based on a SVM scheme. The contribution of each support vector is approximated by low complexity distributed thre...
Effrosini Kokiopoulou, Pascal Frossard
IJCAI
1997
15 years 7 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
ICALP
2011
Springer
14 years 9 months ago
Clique Clustering Yields a PTAS for max-Coloring Interval Graphs
We are given an interval graph G = (V, E) where each interval I ∈ V has a weight wI ∈ R+. The goal is to color the intervals V with an arbitrary number of color classes C1, C2...
Tim Nonner
LATIN
2004
Springer
15 years 11 months ago
Rotation and Lighting Invariant Template Matching
We address the problem of searching for a two-dimensional pattern in a two-dimensional text (or image), such that the pattern can be found even if it appears rotated and it is bri...
Kimmo Fredriksson, Veli Mäkinen, Gonzalo Nava...
FCT
2005
Springer
15 years 12 months ago
The Maximum Resource Bin Packing Problem
Usually, for bin packing problems, we try to minimize the number of bins used or in the case of the dual bin packing problem, maximize the number or total size of accepted items. ...
Joan Boyar, Leah Epstein, Lene M. Favrholdt, Jens ...