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GECCO
2008
Springer
206views Optimization» more  GECCO 2008»
13 years 8 months ago
Improving accuracy of immune-inspired malware detectors by using intelligent features
In this paper, we show that a Bio-inspired classifier’s accuracy can be dramatically improved if it operates on intelligent features. We propose a novel set of intelligent feat...
M. Zubair Shafiq, Syed Ali Khayam, Muddassar Faroo...
ICMCS
2008
IEEE
181views Multimedia» more  ICMCS 2008»
14 years 1 months ago
Coarse-to-fine video text detection
In this paper, we propose an effective coarse-to-fine algorithm to detect text in video. Firstly, in coarse-detection section, stroke filter is employed to detect all candidate st...
Guangyi Miao, Qingming Huang, Shuqiang Jiang, Wen ...
ICIAR
2004
Springer
14 years 24 days ago
Learning an Information Theoretic Transform for Object Detection
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Jianzhong Fang, Guoping Qiu
KI
2007
Springer
13 years 7 months ago
Improving the Detection of Unknown Computer Worms Activity Using Active Learning
Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, after t...
Robert Moskovitch, Nir Nissim, Dima Stopel, Clint ...
EVOW
2004
Springer
14 years 25 days ago
Analysis of Proteomic Pattern Data for Cancer Detection
Abstract. In this paper we analyze two proteomic pattern datasets containing measurements from ovarian and prostate cancer samples. In particular, a linear and a quadratic support ...
Kees Jong, Elena Marchiori, Aad van der Vaart