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ICCV
2007
IEEE
15 years 8 months ago
Probabilistic Linear Discriminant Analysis for Inferences About Identity
Many current face recognition algorithms perform badly when the lighting or pose of the probe and gallery images differ. In this paper we present a novel algorithm designed for th...
Simon J. D. Prince, James H. Elder
NIPS
2007
15 years 5 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
UAI
2008
15 years 5 months ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy
IMC
2010
ACM
15 years 2 months ago
Flowroute: inferring forwarding table updates using passive flow-level measurements
The reconvergence of routing protocols in response to changes in network topology can impact application performance. While improvements in protocol specification and implementati...
Amogh Dhamdhere, Lee Breslau, Nick G. Duffield, Ch...
BIOINFORMATICS
2011
14 years 7 months ago
ProDy: Protein Dynamics Inferred from Theory and Experiments
Summary: We developed a Python package, ProDy, for structurebased analysis of protein dynamics. ProDy allows for quantitative characterization of structural variations in heteroge...
Ahmet Bakan, Lidio M. Meireles, Ivet Bahar