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» A General Framework for Large Scale Systems Development
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EMNLP
2011
13 years 11 months ago
Approximate Scalable Bounded Space Sketch for Large Data NLP
We exploit sketch techniques, especially the Count-Min sketch, a memory, and time efficient framework which approximates the frequency of a word pair in the corpus without explic...
Amit Goyal, Hal Daumé III
AGILEDC
2007
IEEE
15 years 6 months ago
Agility and the Inconceivably Large
This report outlines the experiences of the Microsoft Visual Studio Tools for Office product unit (hereafter referred to as “product unit”) as it applied agile principles and ...
Ade Miller, Eric Carter
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
14 years 10 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
PST
2008
15 years 1 months ago
Model-Checking for Software Vulnerabilities Detection with Multi-Language Support
In this paper we develop a security verification framework for open source software with a multi-language support. We base our approach on the GCC compiler which is considered as ...
Rachid Hadjidj, Xiaochun Yang, Syrine Tlili, Moura...
SDM
2004
SIAM
194views Data Mining» more  SDM 2004»
15 years 1 months ago
Finding Frequent Patterns in a Large Sparse Graph
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
Michihiro Kuramochi, George Karypis