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» Capturing missing tuples and missing values
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ICASSP
2007
IEEE
14 years 2 months ago
POCS-Based Restoration of Bayer-Sampled Image Sequences
Spatial resolution of digital images are limited due to optical/sensor blurring and sensor site density. In single-chip digital cameras, the resolution is further degraded because...
Murat Gevrekci, Bahadir K. Gunturk, Yucel Altunbas...
ICC
2009
IEEE
132views Communications» more  ICC 2009»
14 years 2 months ago
Preprocessing DNS Log Data for Effective Data Mining
—The Domain Name Service (DNS) provides a critical function in directing Internet traffic. Defending DNS servers from bandwidth attacks is assisted by the ability to effectively...
Mark E. Snyder, Ravi Sundaram, Mayur Thakur
IJCAI
2007
13 years 9 months ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
SIGMOD
2008
ACM
131views Database» more  SIGMOD 2008»
14 years 8 months ago
Orion 2.0: native support for uncertain data
Orion is a state-of-the-art uncertain database management system with built-in support for probabilistic data as first class data types. In contrast to other uncertain databases, ...
Sarvjeet Singh, Chris Mayfield, Sagar Mittal, Suni...
GLVLSI
2008
IEEE
140views VLSI» more  GLVLSI 2008»
14 years 2 months ago
A table-based method for single-pass cache optimization
Due to the large contribution of the memory subsystem to total system power, the memory subsystem is highly amenable to customization for reduced power/energy and/or improved perf...
Pablo Viana, Ann Gordon-Ross, Edna Barros, Frank V...