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» Comparing Clusterings in Space
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129
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HPCA
2007
IEEE
16 years 4 months ago
Illustrative Design Space Studies with Microarchitectural Regression Models
We apply a scalable approach for practical, comprehensive design space evaluation and optimization. This approach combines design space sampling and statistical inference to ident...
Benjamin C. Lee, David M. Brooks
113
Voted
JCB
2007
83views more  JCB 2007»
15 years 3 months ago
Evolutionary Networks in the Formatted Protein Sequence Space
In our recent work, a new approach to establish sequence relatedness, by walking through the protein sequence space, was introduced. The sequence space is built from 20 amino acid...
Zakharia M. Frenkel, Edward N. Trifonov
138
Voted
IPPS
2006
IEEE
15 years 9 months ago
A segment-based DSM supporting large shared object space
This paper introduces a software DSM that can extend its shared object space exceeding 4GB in a 32bit commodity cluster environment. This is achieved through the dynamic memory ma...
Benny Wang-Leung Cheung, Cho-Li Wang
121
Voted
DCC
2006
IEEE
16 years 3 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
171
Voted
SPIRE
2005
Springer
15 years 9 months ago
Using the k-Nearest Neighbor Graph for Proximity Searching in Metric Spaces
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Rodrigo Paredes, Edgar Chávez