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ICIP
1999
IEEE
14 years 11 months ago
Hyperparameter Estimation for Emission Computed Tomography Data
Over the last years many statistical models have been proposed to restore tomographical images. However, their use in medical environment has been limited due to several factors. ...
Aggelos K. Katsaggelos, Antonio López, Rafa...
SIGMOD
2007
ACM
181views Database» more  SIGMOD 2007»
14 years 9 months ago
Progressive and selective merge: computing top-k with ad-hoc ranking functions
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang
FCCM
2006
IEEE
170views VLSI» more  FCCM 2006»
14 years 1 months ago
An Architecture for Efficient Hardware Data Mining using Reconfigurable Computing Systems
The Apriori algorithm is a fundamental correlation-based data mining kernel used in a variety of fields. The innovation in this paper is a highly parallel custom architecture impl...
Zachary K. Baker, Viktor K. Prasanna
DATE
2010
IEEE
174views Hardware» more  DATE 2010»
13 years 7 months ago
An HVS-based Adaptive Computational Complexity Reduction Scheme for H.264/AVC video encoder using Prognostic Early Mode Exclusio
The H.264/AVC video encoder standard significantly improves the compression efficiency by using variable block-sized Inter (P) and Intra (I) Macroblock (MB) coding modes. In this p...
Muhammad Shafique, Bastian Molkenthin, Jörg H...
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 7 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava