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» Embedding Heterogeneous Data Using Statistical Models
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VLSID
2005
IEEE
285views VLSI» more  VLSID 2005»
14 years 8 months ago
Power Monitors: A Framework for System-Level Power Estimation Using Heterogeneous Power Models
Abstract--Power analysis early in the design cycle is critical for the design of lowpower systems. With the move to system-level specifications and design methodologies, there has ...
Nikhil Bansal, Kanishka Lahiri, Anand Raghunathan,...
ICICS
2009
Springer
14 years 2 months ago
Assessing Security Risk to a Network Using a Statistical Model of Attacker Community Competence
We propose a novel approach for statistical risk modeling of network attacks that lets an operator perform risk analysis using a data model and an impact model on top of an attack ...
Tomas Olsson
ICDM
2010
IEEE
166views Data Mining» more  ICDM 2010»
13 years 5 months ago
Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection
In this paper, we study probabilistic modeling of heterogeneously attributed multi-dimensional arrays. The model can manage the heterogeneity by employing an individual exponential...
Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibat...
CORR
2010
Springer
166views Education» more  CORR 2010»
13 years 6 months ago
Computer Aided Design Modeling for Heterogeneous Objects
Heterogeneous object design is an active research area in recent years. The conventional CAD modeling approaches only provide geometry and topology of the object, but do not conta...
Vikas Gupta, K. S. Kasana, Puneet Tandon
BMCBI
2010
140views more  BMCBI 2010»
13 years 7 months ago
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
Tianwei Yu, Hesen Peng