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JIFS
2008
155views more  JIFS 2008»
15 years 6 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
SAMOS
2007
Springer
16 years 21 days ago
Towards Multi-application Workload Modeling in Sesame for System-Level Design Space Exploration
The Sesame modeling and simulation framework aims at early and thus efficient system-level design space exploration of embedded multimedia system architectures. So far, Sesame onl...
Mark Thompson, Andy D. Pimentel
VLDB
1994
ACM
137views Database» more  VLDB 1994»
15 years 10 months ago
Performance of Data-Parallel Spatial Operations
The performance of data-parallel algorithms for spatial operations using data-parallel variants of the bucket PMR quadtree, R-tree, and R+-tree spatial data structures is compared...
Erik G. Hoel, Hanan Samet
SC
1992
ACM
15 years 10 months ago
Compiler Code Transformations for Superscalar-Based High Performance Systems
Exploiting parallelism at both the multiprocessor level and the instruction level is an e ective means for supercomputers to achieve high-performance. The amount of instruction-le...
Scott A. Mahlke, William Y. Chen, John C. Gyllenha...
HPCA
1995
IEEE
15 years 10 months ago
Program Balance and Its Impact on High Performance RISC Architectures
Information on the behavior of programs is essential for deciding the number and nature of functional units in high performance architectures. In this paper, we present studies on...
Lizy Kurian John, Vinod Reddy, Paul T. Hulina, Lee...