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200
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SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 9 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
216
Voted
MVA
2007
162views Computer Vision» more  MVA 2007»
15 years 9 months ago
Geometrical and Statistical Visual Inspection of Imprinted Tablets
In this paper we address automated visual inspection of tablets that may, in contrast to manual tablet sorting, provide objective and reproducible tablet quality assurance. Visual...
Marko Bukovec, Ziga Spiclin, Franjo Pernus, Bostja...
167
Voted
NIPS
2007
15 years 9 months ago
Optimal models of sound localization by barn owls
Sound localization by barn owls is commonly modeled as a matching procedure where localization cues derived from auditory inputs are compared to stored templates. While the matchi...
Brian Fischer
193
Voted
NIPS
2007
15 years 9 months ago
Comparing Bayesian models for multisensory cue combination without mandatory integration
Bayesian models of multisensory perception traditionally address the problem of estimating an underlying variable that is assumed to be the cause of the two sensory signals. The b...
Ulrik Beierholm, Konrad P. Körding, Ladan Sha...
212
Voted
NIPS
2007
15 years 9 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...
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