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» A Data Locality Optimizing Algorithm
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ICML
2003
IEEE
16 years 7 months ago
Adaptive Overrelaxed Bound Optimization Methods
We study a class of overrelaxed bound optimization algorithms, and their relationship to standard bound optimizers, such as ExpectationMaximization, Iterative Scaling, CCCP and No...
Ruslan Salakhutdinov, Sam T. Roweis
CVPR
2008
IEEE
16 years 8 months ago
Clustering and dimensionality reduction on Riemannian manifolds
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...
Alvina Goh, René Vidal
ICML
2005
IEEE
16 years 7 months ago
Analysis and extension of spectral methods for nonlinear dimensionality reduction
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...
Fei Sha, Lawrence K. Saul
IPPS
2006
IEEE
16 years 15 days ago
An experimental study of optimizing bioinformatics applications
As bioinformatics is an emerging application of high performance computing, this paper first evaluates the memory performance of several representative bioinformatics application...
Guangming Tan, Lin Xu, Shengzhong Feng, Ninghui Su...
ICDT
2005
ACM
108views Database» more  ICDT 2005»
16 years 4 hour ago
Optimal Workload-Based Weighted Wavelet Synopses
In recent years wavelets were shown to be effective data synopses. We are concerned with the problem of finding efficiently wavelet synopses for massive data sets, in situations...
Yossi Matias, Daniel Urieli