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» Approximate algorithms for neural-Bayesian approaches
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ALENEX
2009
172views Algorithms» more  ALENEX 2009»
14 years 7 months ago
Rank Aggregation: Together We're Strong
We consider the problem of finding a ranking of a set of elements that is "closest to" a given set of input rankings of the elements; more precisely, we want to find a p...
Frans Schalekamp, Anke van Zuylen
SIGECOM
2011
ACM
203views ECommerce» more  SIGECOM 2011»
14 years 23 days ago
Polynomial-time computation of exact correlated equilibrium in compact games
In a landmark paper, Papadimitriou and Roughgarden [2008] described a polynomial-time algorithm (“Ellipsoid Against Hope”) for computing sample correlated equilibria of concis...
Albert Xin Jiang, Kevin Leyton-Brown
CVPR
2009
IEEE
16 years 5 months ago
Robust Multi-Class Transductive Learning with Graphs
Graph-based methods form a main category of semisupervised learning, offering flexibility and easy implementation in many applications. However, the performance of these methods...
Wei Liu (Columbia University), Shih-fu Chang (Colu...
ICCV
2003
IEEE
15 years 12 months ago
Two-Frame Wide Baseline Matching
This paper describes a novel approach to automatically recover corresponding feature points and epipolar geometry over two wide baseline frames. Our contributions consist of sever...
Jiangjian Xiao, Mubarak Shah
ICML
2007
IEEE
15 years 10 months ago
Unsupervised estimation for noisy-channel models
Shannon's Noisy-Channel model, which describes how a corrupted message might be reconstructed, has been the corner stone for much work in statistical language and speech proc...
Markos Mylonakis, Khalil Sima'an, Rebecca Hwa