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JMLR
2006
125views more  JMLR 2006»
13 years 5 months ago
Spam Filtering Using Statistical Data Compression Models
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
Andrej Bratko, Gordon V. Cormack, Bogdan Filipic, ...
CATA
2004
13 years 6 months ago
Decision Tree Induction for Dynamic, High-Dimensional Data Using P-Trees
1 Decision Tree Induction is a powerful classification tool that is much used in practice and works well for static data with dozens of attributes. We adapt the decision tree conce...
Anne Denton, William Perrizo
ICIP
2002
IEEE
14 years 7 months ago
A framework for the efficient segmentation of large-format color images
In this paper, a novel approach to large-format image segmentation is presented, focused on usage in content-based multimedia applications. The proposed framework aims at facilita...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...
CORR
2011
Springer
172views Education» more  CORR 2011»
13 years 10 days ago
SafeVchat: Detecting Obscene Content and Misbehaving Users in Online Video Chat Services
Online video chat services such as Chatroulette, Omegle, and vChatter that randomly match pairs of users in video chat sessions are fast becoming very popular, with over a million...
Xinyu Xing, Yu-Li Liang, Hanqiang Cheng, Jianxun D...
ECCV
2010
Springer
13 years 5 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof