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» A Boosting Algorithm for Regression
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SIGIR
2005
ACM
15 years 12 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 7 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 8 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 6 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 12 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