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145
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ICDE
2011
IEEE
258views Database» more  ICDE 2011»
14 years 6 months ago
SystemML: Declarative machine learning on MapReduce
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....
120
Voted
CCS
2009
ACM
15 years 9 months ago
Learning your identity and disease from research papers: information leaks in genome wide association study
Genome-wide association studies (GWAS) aim at discovering the association between genetic variations, particularly single-nucleotide polymorphism (SNP), and common diseases, which...
Rui Wang, Yong Fuga Li, XiaoFeng Wang, Haixu Tang,...
141
Voted
ICWL
2004
Springer
15 years 8 months ago
Learning Algorithms with an Electronic Chalkboard over the Web
This paper describes a system for the animation of algorithms on an electronic chalkboard. The instructor teaching an algorithm can enter data directly through a drawing- the algor...
Margarita Esponda Argüero, Raúl Rojas
139
Voted
IICAI
2003
15 years 4 months ago
Machine Learning in Infrastructure Security
Abstract: Democratic societies throughout the world, it appears, are facing a new type of threat dubbed "asymmetric threat." In this new threat environment the world gove...
V. Rao Vemuri
123
Voted
PAMI
2010
205views more  PAMI 2010»
15 years 1 months ago
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Long Zhu, Yuanhao Chen, Alan L. Yuille