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» Extremal Optimization: Methods derived from Co-Evolution
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BMCBI
2006
141views more  BMCBI 2006»
15 years 4 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
15 years 9 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
14 years 7 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»
15 years 10 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
15 years 9 months 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...