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» Sublinear Optimization for Machine Learning
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ICML
2008
IEEE
16 years 3 months ago
Dirichlet component analysis: feature extraction for compositional data
We consider feature extraction (dimensionality reduction) for compositional data, where the data vectors are constrained to be positive and constant-sum. In real-world problems, t...
Hua-Yan Wang, Qiang Yang, Hong Qin, Hongbin Zha
ECML
2007
Springer
15 years 8 months ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
ASSETS
2007
ACM
15 years 6 months ago
Automated tactile graphics translation: in the field
We address the practical problem of automating the process of translating figures from mathematics, science, and engineering textbooks to a tactile form suitable for blind student...
Chandrika Jayant, Matthew Renzelmann, Dana Wen, Sa...
FLAIRS
2007
15 years 4 months ago
Autonomous Classification of Knowledge into an Ontology
Ontologies are an increasingly important tool in knowledge representation, as they allow large amounts of data to be related in a logical fashion. Current research is concentrated...
Matthew E. Taylor, Cynthia Matuszek, Bryan Klimt, ...
BMCBI
2008
100views more  BMCBI 2008»
15 years 2 months ago
High-precision high-coverage functional inference from integrated data sources
Background: Information obtained from diverse data sources can be combined in a principled manner using various machine learning methods to increase the reliability and range of k...
Bolan Linghu, Evan S. Snitkin, Dustin T. Holloway,...