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2008
15 years 1 months ago
Portably Solving File TOCTTOU Races with Hardness Amplification
The file-system API of contemporary systems makes programs vulnerable to TOCTTOU (time of check to time of use) race conditions. Existing solutions either help users to detect the...
Dan Tsafrir, Tomer Hertz, David Wagner, Dilma Da S...
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 29 days ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
BMCBI
2007
173views more  BMCBI 2007»
14 years 11 months ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
CORR
2010
Springer
172views Education» more  CORR 2010»
14 years 11 months ago
Seeing Through Black Boxes : Tracking Transactions through Queues under Monitoring Resource Constraints
The problem of optimal allocation of monitoring resources for tracking transactions progressing through a distributed system, modeled as a queueing network, is considered. Two for...
Animashree Anandkumar, Ting He, Chatschik Bisdikia...
IJCV
2006
161views more  IJCV 2006»
14 years 11 months ago
Discriminative Random Fields
In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and mode...
Sanjiv Kumar, Martial Hebert