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BMCBI
2006
146views more  BMCBI 2006»
13 years 7 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
BMCBI
2006
115views more  BMCBI 2006»
13 years 7 months ago
The accuracy of several multiple sequence alignment programs for proteins
Background: There have been many algorithms and software programs implemented for the inference of multiple sequence alignments of protein and DNA sequences. The "true" ...
Paulo A. S. Nuin, Zhouzhi Wang, Elisabeth R. M. Ti...
VR
2008
IEEE
233views Virtual Reality» more  VR 2008»
13 years 6 months ago
Cutting, Deforming and Painting of 3D meshes in a Two Handed Viso-haptic VR System
We describe M4, the multi-modal mesh manipulation system, which aims to provide a more intuitive desktop interface for freeform manipulation of 3D meshes. The system combines inte...
Adam Faeth, Michael Oren, Jonathan Sheller, Sean G...
PR
2010
145views more  PR 2010»
13 years 5 months ago
Graph-optimized locality preserving projections
Locality preserving projections (LPP) is a typical graph-based dimensionality reduction (DR) method, and has been successfully applied in many practical problems such as face recog...
Limei Zhang, Lishan Qiao, Songcan Chen
SIAMIS
2011
13 years 2 months ago
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Stephen Becker, Jérôme Bobin, Emmanue...