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CEAS
2007
Springer
13 years 11 months ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley
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...
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
13 years 5 months ago
Efficient Nonnegative Matrix Factorization with Random Projections
The recent years have witnessed a surge of interests in Nonnegative Matrix Factorization (NMF) in data mining and machine learning fields. Despite its elegant theory and empirical...
Fei Wang, Ping Li
CGO
2004
IEEE
13 years 11 months ago
A Dynamically Tuned Sorting Library
Empirical search is a strategy used during the installation of library generators such as ATLAS, FFTW, and SPIRAL to identify the algorithm or the version of an algorithm that del...
Xiaoming Li, María Jesús Garzar&aacu...
ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
14 years 2 months ago
Learning of moving cast shadows for dynamic environments
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Ajay J. Joshi, Nikolaos Papanikolopoulos