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» Efficient Logic Optimization Using Regularity Extraction
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KDD
2009
ACM
215views Data Mining» more  KDD 2009»
16 years 3 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
VMV
2003
181views Visualization» more  VMV 2003»
15 years 3 months ago
2.5D Active Contour for Surface Reconstruction
In this paper, we present a new deformable model — 2.5D Active Contour— that is capable of directly extracting shape geometry from 3D unorganized point cloud datasets. The rec...
Ye Duan, Hong Qin
ICASSP
2010
IEEE
15 years 2 months ago
Sparse Bayesian step-filtering for high-throughput analysis of molecular machine dynamics
Nature has evolved many molecular machines such as kinesin, myosin, and the rotary flagellar motor powered by an ion current from the mitochondria. Direct observation of the step-...
Max A. Little, Nick S. Jones
TJS
2002
83views more  TJS 2002»
15 years 2 months ago
An I/O-Conscious Tiling Strategy for Disk-Resident Data Sets
This paper describes a tiling technique that can be used by application programmers and optimizing compilers to obtain I/O-efficient versions of regular scientific loop nests. Due ...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
FPGA
2008
ACM
174views FPGA» more  FPGA 2008»
15 years 4 months ago
Pattern-based behavior synthesis for FPGA resource reduction
Pattern-based synthesis has drawn wide interest from researchers who tried to utilize the regularity in applications for design optimizations. In this paper we present a general p...
Jason Cong, Wei Jiang