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» A Boosting Algorithm for Regression
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SIGIR
2005
ACM
15 years 9 months ago
Boosted decision trees for word recognition in handwritten document retrieval
Recognition and retrieval of historical handwritten material is an unsolved problem. We propose a novel approach to recognizing and retrieving handwritten manuscripts, based upon ...
Nicholas R. Howe, Toni M. Rath, R. Manmatha
ICML
2008
IEEE
16 years 5 months ago
Random classification noise defeats all convex potential boosters
A broad class of boosting algorithms can be interpreted as performing coordinate-wise gradient descent to minimize some potential function of the margins of a data set. This class...
Philip M. Long, Rocco A. Servedio
PAMI
2012
13 years 6 months ago
Learning Optimal Embedded Cascades
—The problem of automatic and optimal design of embedded object detector cascades is considered. Two main challenges are identified: optimization of the cascade configuration and...
Mohammad Javad Saberian, Nuno Vasconcelos
DATAMINE
2006
127views more  DATAMINE 2006»
15 years 4 months ago
Computing LTS Regression for Large Data Sets
Least trimmed squares (LTS) regression is based on the subset of h cases (out of n) whose least squares t possesses the smallest sum of squared residuals. The coverage h may be se...
Peter Rousseeuw, Katrien van Driessen
ICSM
2005
IEEE
15 years 10 months ago
A Safe Regression Test Selection Technique for Database-Driven Applications
Regression testing is a widely-used method for checking whether modifications to software systems have adversely affected the overall functionality. This is potentially an expens...
David Willmor, Suzanne M. Embury