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SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
15 years 6 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
WMASH
2004
ACM
15 years 3 months ago
Proximity services supporting network virtual memory in mobile devices
Wireless networked embedded terminals like personal digital assistants, cell-phones or sensor nodes are typically memory constrained devices. This limitation prevents the developm...
Emanuele Lattanzi, Andrea Acquaviva, Alessandro Bo...
CORR
2011
Springer
190views Education» more  CORR 2011»
14 years 1 months ago
Doubly Robust Smoothing of Dynamical Processes via Outlier Sparsity Constraints
Abstract—Coping with outliers contaminating dynamical processes is of major importance in various applications because mismatches from nominal models are not uncommon in practice...
Shahrokh Farahmand, Georgios B. Giannakis, Daniele...
CORR
2007
Springer
117views Education» more  CORR 2007»
14 years 9 months ago
Perfectly Secure Steganography: Capacity, Error Exponents, and Code Constructions
An analysis of steganographic systems subject to the following perfect undetectability condition is presented in this paper. Following embedding of the message into the covertext,...
Ying Wang, Pierre Moulin
OOPSLA
2009
Springer
15 years 4 months ago
Enhancing source-level programming tools with an awareness of transparent program transformations
Programs written in managed languages are compiled to a platform-independent intermediate representation, such as Java bytecode. The relative high level of Java bytecode has engen...
Myoungkyu Song, Eli Tilevich