Sciweavers

ECML
2005
Springer
13 years 10 months ago
Active Learning for Probability Estimation Using Jensen-Shannon Divergence
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
Prem Melville, Stewart M. Yang, Maytal Saar-Tsecha...
AVSS
2006
IEEE
13 years 11 months ago
Analysis of LIDAR Data Fused with Co-Registered Bands
In the past decade, LIght Detection And Ranging (LIDAR) has been recognised by both the commercial and public sector as a reliable and accurate source for land surveying. Object c...
Marc Bartels, Hong Wei, James M. Ferryman
ICIP
2008
IEEE
13 years 11 months ago
Parallel AdaBoost algorithm for Gabor wavelet selection in face recognition
In this paper, the problem of automatic Gabor wavelet selection for face recognition is tackled by introducing an automatic algorithm based on Parallel AdaBoosting method. Incorpo...
Ulas Bagci, Li Bai
ADMI
2009
Springer
13 years 11 months ago
Towards Cooperative Predictive Data Mining in Competitive Environments
Abstract. We study the problem of predictive data mining in the competitive multi-agent setting, in which each agent is assumed to have some partial knowledge needed for correctly ...
Viliam Lisý, Michal Jakob, Petr Benda, Step...
CSIE
2009
IEEE
13 years 11 months ago
Building a General Purpose Cross-Domain Sentiment Mining Model
Building a model using machine learning that can classify the sentiment of natural language text often requires an extensive set of labeled training data from the same domain as t...
Matthew Whitehead, Larry Yaeger
MCS
2010
Springer
13 years 11 months ago
Class-Separability Weighting and Bootstrapping in Error Correcting Output Code Ensembles
A method for applying weighted decoding to error-correcting output code ensembles of binary classifiers is presented. This method is sensitive to the target class in that a separa...
Raymond S. Smith, Terry Windeatt