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152
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SIGMOD
2003
ACM
145views Database» more  SIGMOD 2003»
16 years 3 months ago
Evaluating Probabilistic Queries over Imprecise Data
Many applications employ sensors for monitoring entities such as temperature and wind speed. A centralized database tracks these entities to enable query processing. Due to contin...
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabha...
141
Voted
ICSE
2005
IEEE-ACM
16 years 3 months ago
Verifying safety policies with size properties and alias controls
Many software properties can be analysed through a relational size analysis on each function's inputs and outputs. Such relational analysis (through a form of dependent typin...
Wei-Ngan Chin, Siau-Cheng Khoo, Shengchao Qin, Cor...
141
Voted
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
16 years 1 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
140
Voted
SOSP
2009
ACM
16 years 16 days ago
Improving application security with data flow assertions
RESIN is a new language runtime that helps prevent security vulnerabilities, by allowing programmers to specify application-level data flow assertions. RESIN provides policy obje...
Alexander Yip, Xi Wang, Nickolai Zeldovich, M. Fra...
117
Voted
CVPR
2010
IEEE
16 years 2 days ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun