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ECCV
2010
Springer
14 years 1 months ago
Towards Optimal Naive Bayes Nearest Neighbor
Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...
CJ
2008
97views more  CJ 2008»
13 years 7 months ago
Three Kinds of Probabilistic Induction: Universal Distributions and Convergence Theorems
We will describe three kinds of probabilistic induction problems, and give general solutions for each , with associated convergence theorems that show they tend to give good proba...
Ray J. Solomonoff
CVPR
2007
IEEE
14 years 9 months ago
Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds
In this paper, we propose a novel learning-based method for image hallucination, with image super-resolution being a specific application that we focus on here. Given a low-resolu...
Wei Fan, Dit-Yan Yeung
ICCV
2001
IEEE
14 years 9 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
AAAI
2008
13 years 10 months ago
A Variance Analysis for POMDP Policy Evaluation
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
Mahdi Milani Fard, Joelle Pineau, Peng Sun