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ICDAR
2009
IEEE
15 years 7 days ago
Clutter Noise Removal in Binary Document Images
The paper presents a clutter detection and removal algorithm for complex document images. The distance transform based approach is independent of clutter's position, size, sh...
Mudit Agrawal, David S. Doermann
ASIAN
2007
Springer
102views Algorithms» more  ASIAN 2007»
15 years 8 months ago
A Static Birthmark of Binary Executables Based on API Call Structure
Abstract. A software birthmark is a unique characteristic of a program that can be used as a software theft detection. In this paper we suggest and empirically evaluate a static bi...
Seokwoo Choi, Heewan Park, Hyun-il Lim, Taisook Ha...
PVLDB
2008
82views more  PVLDB 2008»
15 years 1 months ago
Mining non-redundant high order correlations in binary data
Many approaches have been proposed to find correlations in binary data. Usually, these methods focus on pair-wise correlations. In biology applications, it is important to find co...
Xiang Zhang, Feng Pan, Wei Wang 0010, Andrew B. No...
126
Voted
VDA
2010
206views Visualization» more  VDA 2010»
15 years 4 months ago
Visual discovery in multivariate binary data
This paper presents the concept of Monotone Boolean Function Visual Analytics (MBFVA) and its application to the medical domain. The medical application is concerned with discover...
Boris Kovalerchuk, Florian Delizy, Logan Riggs, Ev...
JMLR
2010
143views more  JMLR 2010»
14 years 9 months ago
Rademacher Complexities and Bounding the Excess Risk in Active Learning
Sequential algorithms of active learning based on the estimation of the level sets of the empirical risk are discussed in the paper. Localized Rademacher complexities are used in ...
Vladimir Koltchinskii