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UAI
2008
14 years 11 months ago
Tightening LP Relaxations for MAP using Message Passing
Linear Programming (LP) relaxations have become powerful tools for finding the most probable (MAP) configuration in graphical models. These relaxations can be solved efficiently u...
David Sontag, Talya Meltzer, Amir Globerson, Tommi...
86
Voted
BMVC
2010
14 years 7 months ago
Generalized RBF feature maps for Efficient Detection
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
Sreekanth Vempati, Andrea Vedaldi, Andrew Zisserma...
CDB
2004
Springer
172views Database» more  CDB 2004»
15 years 3 months ago
Constraint Database Solutions to the Genome Map Assembly Problem
Abstract. Long DNA sequences have to be cut using restriction enzymes into small fragments whose lengths and/or nucleotide sequences can be analyzed by currently available technolo...
Viswanathan Ramanathan, Peter Z. Revesz
82
Voted
ICPR
2010
IEEE
14 years 7 months ago
Boosting Bayesian MAP Classification
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
Paolo Piro, Richard Nock, Frank Nielsen, Michel Ba...
ICDE
2005
IEEE
113views Database» more  ICDE 2005»
15 years 11 months ago
On the Optimal Ordering of Maps and Selections under Factorization
The query optimizer of a database system is confronted with two aspects when handling user-defined functions (UDFs) in query predicates: the vast differences in evaluation costs b...
Thomas Neumann, Sven Helmer, Guido Moerkotte