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157
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DIS
2008
Springer
15 years 5 months ago
Unsupervised Classifier Selection Based on Two-Sample Test
We propose a well-founded method of ranking a pool of m trained classifiers by their suitability for the current input of n instances. It can be used when dynamically selecting a s...
Timo Aho, Tapio Elomaa, Jussi Kujala
134
Voted
JAIR
2000
152views more  JAIR 2000»
15 years 3 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
BMVC
2010
15 years 1 months ago
Three-step image rectification
Image stereo-rectification is the process by which two images of the same solid scene undergo homographic transforms, so that their corresponding epipolar lines coincide and becom...
Pascal Monasse, Jean-Michel Morel, Zhongwei Tang
150
Voted
CVPR
2010
IEEE
15 years 11 months ago
Beyond Trees: MRF Inference via Outer-Planar Decomposition
Maximum a posteriori (MAP) inference in Markov Random Fields (MRFs) is an NP-hard problem, and thus research has focussed on either finding efficiently solvable subclasses (e.g. t...
Dhruv Batra, Andrew Gallagher, Devi Parikh, Tsuhan...
150
Voted
SIMULATION
2011
14 years 10 months ago
The Activity-tracking paradigm in discrete-event modeling and simulation: The case of spatially continuous distributed systems
From a modelling and simulation perspective, studying dynamic systems consists of focusing on changes in states. According to the precision of state changes, generic algorithms ca...
Alexandre Muzy, Rajanikanth Jammalamadaka, Bernard...