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JMLR
2006
132views more  JMLR 2006»
14 years 9 months ago
Learning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
Jeremy Z. Kolter, Marcus A. Maloof
KDD
2004
ACM
330views Data Mining» more  KDD 2004»
15 years 9 months ago
Learning to detect malicious executables in the wild
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
Jeremy Z. Kolter, Marcus A. Maloof
CVPR
2008
IEEE
15 years 11 months ago
A NURBS-based spectral reflectance descriptor with applications in computer vision and pattern recognition
In this paper, we present a surface reflectance descriptor based on the control points resulting from the interpolation of Non-Uniform Rational B-Spline (NURBS) curves to multispe...
Cong Phuoc Huynh, Antonio Robles-Kelly
108
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KDD
2005
ACM
163views Data Mining» more  KDD 2005»
15 years 9 months ago
Data Sparsity Issues in the Collaborative Filtering Framework
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Gr...
ICCV
2003
IEEE
15 years 11 months ago
Landmark-based Shape Deformation with Topology-Preserving Constraints
This paper presents a novel approach for landmarkbased shape deformation, in which fitting error and shape difference are formulated into a support vector machine (SVM) regression...
Song Wang, Jim Xiuquan Ji, Zhi-Pei Liang