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KAIS
2007
75views more  KAIS 2007»
15 years 6 months ago
Non-redundant data clustering
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
David Gondek, Thomas Hofmann
SIMULATION
1998
83views more  SIMULATION 1998»
15 years 6 months ago
Libraries of Reusable Models: Theory and Application
Setting up a simulation model is more than writing down state equations and running them on a computer. A lot of conceptual information about the physics and engineering aspects o...
Arno Breunese, Jan L. Top, Jan F. Broenink, J. M. ...
TSE
2002
96views more  TSE 2002»
15 years 6 months ago
Better Reliability Assessment and Prediction through Data Clustering
This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...
Jeff Tian
ICCV
2011
IEEE
14 years 6 months ago
Object Detection and Segmentation from Joint Embedding of Parts and Pixels
We present a new framework in which image segmentation, figure/ground organization, and object detection all appear as the result of solving a single grouping problem. This frame...
Michael Maire, Stella X. Yu, Pietro Perona
ISCA
2012
IEEE
279views Hardware» more  ISCA 2012»
13 years 9 months ago
Staged memory scheduling: Achieving high performance and scalability in heterogeneous systems
When multiple processor (CPU) cores and a GPU integrated together on the same chip share the off-chip main memory, requests from the GPU can heavily interfere with requests from t...
Rachata Ausavarungnirun, Kevin Kai-Wei Chang, Lava...