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ACIVS
2009
Springer
14 years 3 months ago
Image Categorization Using ESFS: A New Embedded Feature Selection Method Based on SFS
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
Huanzhang Fu, Zhongzhe Xiao, Emmanuel Dellandr&eac...
ICCV
2003
IEEE
14 years 11 months ago
Shape Representation via Harmonic Embedding
We present a novel representation of shape for closed planar contours explicitly designed to possess a linear structure. This greatly simplifies linear operations such as averagin...
Alessandro Duci, Anthony J. Yezzi, Sanjoy K. Mitte...
TALG
2008
86views more  TALG 2008»
13 years 9 months ago
Embeddings of negative-type metrics and an improved approximation to generalized sparsest cut
In this paper, we study the metrics of negative type, which are metrics (V, d) such that d is an Euclidean metric; these metrics are thus also known as " 2-squared" met...
Shuchi Chawla, Anupam Gupta, Harald Räcke
DNA
2005
Springer
154views Bioinformatics» more  DNA 2005»
14 years 2 months ago
Design of Autonomous DNA Cellular Automata
Recent experimental progress in DNA lattice construction, DNA robotics, and DNA computing provides the basis for designing DNA cellular computing devices, i.e. autonomous nano-mech...
Peng Yin, Sudheer Sahu, Andrew J. Turberfield, Joh...
CMOT
2004
83views more  CMOT 2004»
13 years 8 months ago
Networks, Fields and Organizations: Micro-Dynamics, Scale and Cohesive Embeddings
Social action is situated in fields that are simultaneously composed of interpersonal ties and relations among organizations, which are both usefully characterized as social netwo...
Douglas R. White, Jason Owen-Smith, James Moody, W...