119 search results - page 13 / 24 » Pruning Training Samples Using a Supervised Clustering Algor... |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....
BMCBI
2007
13 years 7 months ago
2007
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
PAMI
2008
13 years 7 months ago
2008
This paper introduces three new contributions to the problems of image classification and image search. First, we propose a new image patch quantization algorithm. Other competitiv...
KDD
2005
ACM
14 years 7 months ago
2005
ACM
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
PAA
2006
13 years 7 months ago
2006
Abstract In this paper, an efficient K-medians clustering (unsupervised) algorithm for prototype selection and Supervised K-medians (SKM) classification technique for protein seque...