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CVIU
2008
188views more  CVIU 2008»
15 years 6 months ago
Learning function-based object classification from 3D imagery
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
Michael Pechuk, Octavian Soldea, Ehud Rivlin
FTML
2008
185views more  FTML 2008»
15 years 6 months ago
Graphical Models, Exponential Families, and Variational Inference
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
Martin J. Wainwright, Michael I. Jordan
JMLR
2002
115views more  JMLR 2002»
15 years 6 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
EMNLP
2010
15 years 4 months ago
Translingual Document Representations from Discriminative Projections
Representing documents by vectors that are independent of language enhances machine translation and multilingual text categorization. We use discriminative training to create a pr...
John Platt, Kristina Toutanova, Wen-tau Yih
ICISP
2010
Springer
15 years 8 months ago
Selecting Optimal Orientations of Gabor Wavelet Filters for Facial Image Analysis
Abstract. Gabor wavelet-based methods have been widely used to extract representative features for face analysis. However, the existing methods usually suffer from high computation...
Tianqi Zhang, Bao-Liang Lu