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» Fast Linear Discriminant Analysis Using Binary Bases
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SIGIR
2010
ACM
15 years 9 months ago
Self-taught hashing for fast similarity search
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is sem...
Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu
SENSYS
2006
ACM
15 years 12 months ago
Target tracking with binary proximity sensors: fundamental limits, minimal descriptions, and algorithms
We explore fundamental performance limits of tracking a target in a two-dimensional field of binary proximity sensors, and design algorithms that attain those limits. In particul...
Nisheeth Shrivastava, Raghuraman Mudumbai, Upamany...
KES
2005
Springer
15 years 11 months ago
Feature Generation by Simple FLD
This paper presents a new algorithm for feature generation, which is approximately derived based on geometrical interpretation of the Fisher linear discriminant analysis. In a fiel...
Minoru Fukumi, Yasue Mitsukura
JLP
1998
147views more  JLP 1998»
15 years 5 months ago
Automated Reasoning with a Constraint-Based Metainterpreter
Using constraint logic techniques, it is made possible to use a wellknown metainterpreter backwards as a device for generating programs. A metainterpreter is developed, which prov...
Henning Christiansen
BMCBI
2007
147views more  BMCBI 2007»
15 years 5 months ago
Comparative analysis of long DNA sequences by per element information content using different contexts
Background: Features of a DNA sequence can be found by compressing the sequence under a suitable model; good compression implies low information content. Good DNA compression mode...
Trevor I. Dix, David R. Powell, Lloyd Allison, Jul...