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» A Minimal Periods Algorithm with Applications
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111
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ISPASS
2009
IEEE
15 years 7 months ago
Machine learning based online performance prediction for runtime parallelization and task scheduling
—With the emerging many-core paradigm, parallel programming must extend beyond its traditional realm of scientific applications. Converting existing sequential applications as w...
Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Sch...
HIPEAC
2007
Springer
15 years 6 months ago
A Throughput-Driven Task Creation and Mapping for Network Processors
Abstract. Network processors are programmable devices that can process packets at a high speed. A network processor is typified by multithreading and heterogeneous multiprocessing...
Lixia Liu, Xiao-Feng Li, Michael K. Chen, Roy Dz-C...
85
Voted
CVPR
2006
IEEE
16 years 2 months ago
Robust Fragments-based Tracking using the Integral Histogram
We present a novel algorithm (which we call "FragTrack") for tracking an object in a video sequence. The template object is represented by multiple image fragments or pa...
Amit Adam, Ehud Rivlin, Ilan Shimshoni
144
Voted
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
16 years 1 months ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel
KDD
1999
ACM
220views Data Mining» more  KDD 1999»
15 years 4 months ago
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Guozhu Dong, Jinyan Li