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» Robust Feature Selection Algorithms
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DOCENG
2006
ACM
14 years 3 months ago
NEWPAR: an automatic feature selection and weighting schema for category ranking
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
Fernando Ruiz-Rico, José Luis Vicedo Gonz&a...
CVPR
1998
IEEE
14 years 11 months ago
Making Good Features Track Better
This paper addresses robust feature tracking. We extend the well-known Shi-Tomasi-Kanade tracker by introducing an automatic scheme for rejecting spurious features. We employ a si...
Tiziano Tommasini, Andrea Fusiello, Emanuele Trucc...
MTA
2006
195views more  MTA 2006»
13 years 9 months ago
An efficient and robust algorithm for 3D mesh segmentation
Abstract This paper presents an efficient and robust algorithm for 3D mesh segmentation. Segmentation is one of the main areas of 3D object modeling. Most segmentation methods deco...
Lijun Chen 0003, Nicolas D. Georganas
KDD
2002
ACM
126views Data Mining» more  KDD 2002»
14 years 9 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
CIARP
2006
Springer
13 years 11 months ago
Robustness Analysis of the Neural Gas Learning Algorithm
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
Carolina Saavedra, Sebastián Moreno, Rodrig...