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» Learning Functions from Imperfect Positive Data
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BMCBI
2008
153views more  BMCBI 2008»
13 years 9 months ago
Improved general regression network for protein domain boundary prediction
Background: Protein domains present some of the most useful information that can be used to understand protein structure and functions. Recent research on protein domain boundary ...
Paul D. Yoo, Abdur R. Sikder, Bing Bing Zhou, Albe...
EDBT
2009
ACM
277views Database» more  EDBT 2009»
14 years 1 months ago
G-hash: towards fast kernel-based similarity search in large graph databases
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...
Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald ...
FGR
2000
IEEE
114views Biometrics» more  FGR 2000»
14 years 1 months ago
Wide-Range, Person- and Illumination-Insensitive Head Orientation Estimation
We present an algorithm for estimation of head orientation, given cropped images of a subject’s head from any viewpoint. Our algorithm handles dramatic changes in illumination, ...
Ying Wu, Kentaro Toyama
IJCNN
2006
IEEE
14 years 2 months ago
TempUnit: A bio-inspired neural network model for signal processing
– We have developed and tested a novel artificial neural network for the processing of temporal signals. The working of the units (TempUnit) is based on the mechanism of temporal...
Olivier F. Manette, Marc A. Maier
SODA
1998
ACM
113views Algorithms» more  SODA 1998»
13 years 10 months ago
Fast Hierarchical Clustering and Other Applications of Dynamic Closest Pairs
We develop data structures for dynamic closest pair problems with arbitrary (not necessarily geometric) distance functions, based on a technique previously used by the author for ...
David Eppstein