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CEAS
2008
Springer
14 years 1 months ago
Improving Image Spam Filtering Using Image Text Features
In this paper we consider the approach to image spam filtering based on using image classifiers aimed at discriminating between ham and spam images, previously proposed by other a...
Giorgio Fumera, Fabio Roli, Battista Biggio, Ignaz...
PCM
2007
Springer
114views Multimedia» more  PCM 2007»
14 years 5 months ago
Random Convolution Ensembles
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
Michael Mayo
CVPR
2008
IEEE
15 years 1 months ago
In defense of Nearest-Neighbor based image classification
State-of-the-art image classification methods require an intensive learning/training stage (using SVM, Boosting, etc.) In contrast, non-parametric Nearest-Neighbor (NN) based imag...
Oren Boiman, Eli Shechtman, Michal Irani