6 search results - page 1 / 2 » Fast Spectral Clustering of Data Using Sequential Matrix Com... |
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Spectral clustering has attracted much research interest in recent years since it can yield impressively good clustering results. Traditional spectral clustering algorithms first s...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
SIGIR
2008
ACM
2008
ACM
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
13 years 4 months ago
Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and mach...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
We present a simple and scalable graph clustering method called power iteration clustering (PIC). PIC finds a very low-dimensional embedding of a dataset using truncated power ite...
TSP
2008
13 years 3 months ago
2008
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...