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» Combinations of Weak Classifiers
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HIS
2004
13 years 10 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
ICALP
1995
Springer
14 years 6 days ago
Weakly Useful Sequences
An infinite binary sequence x is defined to be (i) strongly useful if there is a computable time bound within which every decidable sequence is Turing reducible to x; and (ii) w...
Stephen A. Fenner, Jack H. Lutz, Elvira Mayordomo
IANDC
2010
116views more  IANDC 2010»
13 years 7 months ago
Weak bisimulation is sound and complete for pCTL*
Abstract. We investigate weak bisimulation of probabilistic systems in the presence of nondeterminism, i.e. labelled concurrent Markov chains (LCMC) with silent transitions. We bui...
Josée Desharnais, Vineet Gupta, Radha Jagad...
ICCV
2011
IEEE
12 years 8 months ago
Scene Recognition and Weakly Supervised Object Localization with Deformable Part-Based Models
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
Megha Pandey, Svetlana Lazebnik
EUROSYS
2010
ACM
14 years 1 months ago
Policy-based access control for weakly consistent replication
Combining access control with weakly consistent replication presents a challenge if the resulting system is to support eventual consistency. If authorization policy can be tempora...
Ted Wobber, Thomas L. Rodeheffer, Douglas B. Terry