119 search results - page 4 / 24 » Pruning Training Samples Using a Supervised Clustering Algor... |
CIKM
2011
Springer
12 years 7 months ago
2011
Springer
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
CSDA
2006
13 years 7 months ago
2006
The cost-complexity pruning generates nested subtrees and selects the best one. However, its computational cost is large since it uses holdout sample or cross-validation. On the o...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
MLDM
2005
Springer
14 years 25 days ago
2005
Springer
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
ICDAR
2003
IEEE
14 years 18 days ago
2003
IEEE
In this paper we propose a parallel approach for the Kmeans Vector Quantization (VQ) algorithm used in a twostage Hidden Markov Model (HMM)-based system for recognizing handwritte...