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NIPS
2008
15 years 8 months ago
Inferring rankings under constrained sensing
Motivated by applications like elections, web-page ranking, revenue maximization etc., we consider the question of inferring popular rankings using constrained data. More specific...
Srikanth Jagabathula, Devavrat Shah
AAAI
2004
15 years 8 months ago
Learning and Inferring Transportation Routines
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
Lin Liao, Dieter Fox, Henry A. Kautz
BMCBI
2010
109views more  BMCBI 2010»
15 years 6 months ago
FPGA acceleration of the phylogenetic likelihood function for Bayesian MCMC inference methods
Background: Likelihood (ML)-based phylogenetic inference has become a popular method for estimating the evolutionary relationships among species based on genomic sequence data. Th...
Stephanie Zierke, Jason D. Bakos
PE
2007
Springer
112views Optimization» more  PE 2007»
15 years 6 months ago
Multicast inference of temporal loss characteristics
Multicast-based inference has been proposed as a method of estimating average loss rates of internal network links, using end-to-end loss measurements of probes sent over a multic...
Vijay Arya, Nick G. Duffield, Darryl Veitch
MICCAI
2010
Springer
15 years 5 months ago
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Samuel Kadoury, Nikos Paragios