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73
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NIPS
2003
15 years 24 days ago
Extreme Components Analysis
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
TIFS
2010
132views more  TIFS 2010»
14 years 9 months ago
JPEG error analysis and its applications to digital image forensics
JPEG is one of the most extensively used image formats. Understanding the inherent characteristics of JPEG may play a useful role in digital image forensics. In this paper, we int...
Weiqi Luo, Jiwu Huang, Guoping Qiu
107
Voted
DAC
2005
ACM
15 years 1 months ago
Power grid simulation via efficient sampling-based sensitivity analysis and hierarchical symbolic relaxation
On-chip supply networks are playing an increasingly important role for modern nanometer-scale designs. However, the ever growing sizes of power grids make the analysis problem ext...
Peng Li
WSC
2008
15 years 1 months ago
Simulating the performance of a Class-Based Weighted Fair Queueing system
Class Based Weighted Fair Queueing (CBWFQ) is a very important router discipline that allows different types of Internet Protocol (IP) traffic like voice, video, and best effort d...
Martin J. Fischer, Denise M. Bevilacqua Masi, John...
ICDE
2012
IEEE
240views Database» more  ICDE 2012»
13 years 1 months ago
Ego-centric Graph Pattern Census
—There is increasing interest in analyzing networks of all types including social, biological, sensor, computer, and transportation networks. Broadly speaking, we may be interest...
Walaa Eldin Moustafa, Amol Deshpande, Lise Getoor