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» Assessing haptic properties for data representation
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ICML
2007
IEEE
14 years 5 months ago
Non-isometric manifold learning: analysis and an algorithm
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
Piotr Dollár, Serge J. Belongie, Vincent Ra...
GECCO
2003
Springer
123views Optimization» more  GECCO 2003»
13 years 10 months ago
Benefits of Implicit Redundant Genetic Algorithms for Structural Damage Detection in Noisy Environments
A robust structural damage detection method that can handle noisy frequency response function information is discussed. The inherent unstructured nature of damage detection problem...
Anne M. Raich, Tamás Liszkai
DKE
2002
113views more  DKE 2002»
13 years 4 months ago
A general strategy for decomposing topological invariants of spatial databases and an application
Topological invariants of spatial databases (i.e., finite structures that capture the topological properties of the database) are receiving increasing attention since they can act...
Serafino Cicerone, Daniele Frigioni, Paolino Di Fe...
BMCBI
2006
114views more  BMCBI 2006»
13 years 4 months ago
A high level interface to SCOP and ASTRAL implemented in Python
Background: Benchmarking algorithms in structural bioinformatics often involves the construction of datasets of proteins with given sequence and structural properties. The SCOP da...
James A. Casbon, Gavin E. Crooks, Mansoor A. S. Sa...
BMCBI
2010
121views more  BMCBI 2010»
13 years 5 months ago
Knowledge-based annotation of small molecule binding sites in proteins
Background: The study of protein-small molecule interactions is vital for understanding protein function and for practical applications in drug discovery. To benefit from the rapi...
Ratna R. Thangudu, Manoj Tyagi, Benjamin A. Shoema...