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CORR
2008
Springer
95views Education» more  CORR 2008»
13 years 7 months ago
Explicit Learning: an Effort towards Human Scheduling Algorithms
Scheduling problems are generally NP-hard combinatorial problems, and a lot of research has been done to solve these problems heuristically. However, most of the previous approach...
Jingpeng Li, Uwe Aickelin
BMCBI
2010
133views more  BMCBI 2010»
13 years 7 months ago
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...
Lance E. Palmer, Mathäus Dejori, Randall A. B...
IR
2010
13 years 5 months ago
Learning to rank with (a lot of) word features
In this article we present Supervised Semantic Indexing (SSI) which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
ICPR
2002
IEEE
14 years 8 months ago
To Each According to its Need: Kernel Class Specific Classifiers
We present in this paper a new multi-class Bayes classifier that permits using separate feature vectors, chosen specifically for each class. This technique extends previous work o...
Barbara Caputo, Heinrich Niemann
FGR
2004
IEEE
127views Biometrics» more  FGR 2004»
13 years 10 months ago
Gait Style and Gait Content: Bilinear Models for Gait Recognition Using Gait Re-sampling
Human Identification using gait is a challenging computer vision task due to the dynamic motion of gait and the existence of various sources of variations such as viewpoint, walki...
Chan-Su Lee, Ahmed M. Elgammal