126 search results - page 2 / 26 » Applying Spectral Methods to Software Clustering |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
In this paper we introduce two new methods for solving binary quadratic problems. While spectral relaxation methods have been the workhorse subroutine for a wide variety of comput...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
This paper aims to introduce the robustness against noise into the spectral clustering algorithm. First, we propose a warping model to map the data into a new space on the basis o...
ICRA
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— This paper presents a novel use of spectral clustering algorithms to support cases where the entries in the affinity matrix are costly to compute. The method is increm...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Many practical applications of clustering involve data collected over time. In these applications, evolutionary clustering can be applied to the data to track changes in clusters ...