Sciweavers

2065 search results - page 247 / 413
» Techniques of Cluster Algorithms in Data Mining
Sort
View
SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
16 years 3 months ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo
ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
16 years 25 days ago
Statistical Learning Algorithm for Tree Similarity
Tree edit distance is one of the most frequently used distance measures for comparing trees. When using the tree edit distance, we need to determine the cost of each operation, bu...
Atsuhiro Takasu, Daiji Fukagawa, Tatsuya Akutsu
INDIASE
2009
ACM
16 years 1 months ago
Computing dynamic clusters
When trying to reverse engineer software, execution trace analysis is increasingly used. Though, by using this technique we are quickly faced with an enormous amount of data that ...
Philippe Dugerdil, Sebastien Jossi
CVPR
2008
IEEE
16 years 8 months ago
Incremental learning of nonparametric Bayesian mixture models
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Ryan Gomes, Max Welling, Pietro Perona
CIVR
2005
Springer
130views Image Analysis» more  CIVR 2005»
16 years 1 days ago
Improvement on PCA and 2DPCA Algorithms for Face Recognition
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Vo Dinh Minh Nhat, Sungyoung Lee