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ESEM
2007
ACM
14 years 2 months ago
The Effects of Over and Under Sampling on Fault-prone Module Detection
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
Yasutaka Kamei, Akito Monden, Shinsuke Matsumoto, ...
ICCV
2009
IEEE
15 years 3 months ago
Segmentation and Shading Estimation in Slowly Changing Textured Images
We present a novel representation for modeling textured regions subject to smooth variations in orientation and scale. Utilizing the steerable pyramid of Simoncelli and Freeman ...
Jason Chang, John W. Fisher III
ICPR
2002
IEEE
14 years 11 months ago
A General Multichannel Image Restoration Method Using Compound Models
In this paper we present a multichannel image restoration method using Compound Gauss Markov Random Field (CGMRF) models. Information regarding the objects present in the scene is...
Rafael Molina, Javier Mateos, Aggelos K. Katsaggel...
MICCAI
2005
Springer
14 years 11 months ago
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker,...

Source Code
445views
14 years 10 months ago
Blocks
Blocks is an open source modular MATLAB framework which allows the user to avoid needlessly repeating computation. Blocks may be easily used for your own experiments, and comes ...
Brian Fulkerson, Andrea Vedaldi