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NDSS
2008
IEEE
14 years 3 months ago
Limits of Learning-based Signature Generation with Adversaries
Automatic signature generation is necessary because there may often be little time between the discovery of a vulnerability, and exploits developed to target the vulnerability. Mu...
Shobha Venkataraman, Avrim Blum, Dawn Song
ICCV
2009
IEEE
15 years 1 months ago
Constrained Clustering by Spectral Kernel Learning
Clustering performance can often be greatly improved by leveraging side information. In this paper, we consider constrained clustering with pairwise constraints, which specify s...
Zhenguo Li, Jianzhuang Liu
CVPR
2010
IEEE
14 years 5 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
ICPR
2008
IEEE
14 years 3 months ago
Fast multiple instance learning via L1, 2 logistic regression
In this paper, we develop an efficient logistic regression model for multiple instance learning that combines L1 and L2 regularisation techniques. An L1 regularised logistic regr...
Zhouyu Fu, Antonio Robles-Kelly
EMNLP
2008
13 years 10 months ago
Soft-Supervised Learning for Text Classification
We propose a new graph-based semisupervised learning (SSL) algorithm and demonstrate its application to document categorization. Each document is represented by a vertex within a ...
Amarnag Subramanya, Jeff Bilmes