Sciweavers

961 search results - page 32 / 193
» Significance-Driven Graph Clustering
Sort
View
CORR
2002
Springer
82views Education» more  CORR 2002»
15 years 12 days ago
Using eigenvectors of the bigram graph to infer morpheme identity
This paper describes the results of some experiments exploring statistical methods to infer syntactic categories from a raw corpus in an unsupervised fashion. It shares certain po...
Mikhail Belkin, John A. Goldsmith
112
Voted
ICCV
2009
IEEE
14 years 10 months ago
Building recognition using sketch-based representations and spectral graph matching
In this work, we address the problem of building recognition across two camera views with large changes in scales and viewpoints. The main idea is to construct a semantically rich...
Yu-Chia Chung, Tony X. Han, Zhihai He
DASFAA
2007
IEEE
199views Database» more  DASFAA 2007»
15 years 7 months ago
Detection and Visualization of Subspace Cluster Hierarchies
Subspace clustering (also called projected clustering) addresses the problem that different sets of attributes may be relevant for different clusters in high dimensional feature sp...
Elke Achtert, Christian Böhm, Hans-Peter Krie...
124
Voted
PR
2008
169views more  PR 2008»
15 years 15 days ago
A survey of kernel and spectral methods for clustering
Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with ...
Maurizio Filippone, Francesco Camastra, Francesco ...
90
Voted
AAIM
2008
Springer
119views Algorithms» more  AAIM 2008»
15 years 7 months ago
Engineering Comparators for Graph Clusterings
A promising approach to compare two graph clusterings is based on using measurements for calculating the distance between them. Existing measures either use the structure of cluste...
Daniel Delling, Marco Gaertler, Robert Görke,...