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» Extremal Optimization: Methods derived from Co-Evolution
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BMCBI
2006
141views more  BMCBI 2006»
13 years 7 months ago
Asymptotic behaviour and optimal word size for exact and approximate word matches between random sequences
Background: The number of k-words shared between two sequences is a simple and effcient alignment-free sequence comparison method. This statistic, D2, has been used for the cluste...
Sylvain Forêt, Miriam R. Kantorovitz, Conrad...
APN
2005
Springer
14 years 1 months ago
Derivation of Non-structural Invariants of Petri Nets Using Abstract Interpretation
stract Interpretation Robert Claris´o, Enric Rodr´ıguez-Carbonell, and Jordi Cortadella Universitat Polit`ecnica de Catalunya, Barcelona, Spain Abstract interpretation is a para...
Robert Clarisó, Enric Rodríguez-Carb...
ICCV
2011
IEEE
12 years 11 months ago
Outdoor Human Motion Capture using Inverse Kinematics and von Mises-Fisher Sampling
Human motion capturing (HMC) from multiview image sequences constitutes an extremely difficult problem due to depth and orientation ambiguities and the high dimensionality of the s...
Gerard Pons-Moll, Andreas Baak, Juergen Gall, Laur...
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
14 years 1 months ago
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
Robert M. Bell, Yehuda Koren
VLBV
2005
Springer
14 years 28 days ago
Efficient Digital Pre-filtering for Least-Squares Linear Approximation
In this paper we propose a very simple FIR pre-filter based method for near optimal least-squares linear approximation of discrete time signals. A digital pre-processing filter,...
Marco Dalai, Riccardo Leonardi, Pierangelo Miglior...