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» A Spectral Approach to Lower Bounds
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HIPC
2004
Springer
14 years 3 months ago
A Shared Memory Dispatching Approach for Partially Clairvoyant Schedulers
It is well known that in a typical real-time system, certain parameters, such as the execution time of a job, are not fixed numbers. In such systems, it is common to characterize ...
K. Subramani, Kiran Yellajyosula
CPAIOR
2008
Springer
13 years 11 months ago
Efficient Haplotype Inference with Combined CP and OR Techniques
Abstract. Haplotype inference has relevant biological applications, and represents a challenging computational problem. Among others, pure parsimony provides a viable modeling appr...
Ana Graça, João Marques-Silva, In&ec...
AI
2005
Springer
13 years 9 months ago
First order LUB approximations: characterization and algorithms
One of the major approaches to approximation of logical theories is the upper and lower bounds approach introduced in (Selman and Kautz, 1991, 1996). In this paper, we address the...
Alvaro del Val
ICML
2004
IEEE
14 years 10 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
14 years 10 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner