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ICVS
2009
Springer
13 years 6 months ago
Boosting with a Joint Feature Pool from Different Sensors
This paper introduces a new way to apply boosting to a joint feature pool from different sensors, namely 3D range data and color vision. The combination of sensors strengthens the ...
Dominik Alexander Klein, Dirk Schulz, Simone Frint...
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
14 years 2 months ago
Clustering time series from ARMA models with clipped data
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Anthony J. Bagnall, Gareth J. Janacek
ML
2000
ACM
185views Machine Learning» more  ML 2000»
13 years 8 months ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih
ENTCS
2010
111views more  ENTCS 2010»
13 years 6 months ago
Fundamental Nano-Patterns to Characterize and Classify Java Methods
Fundamental nano-patterns are simple, static, binary properties of Java methods, such as ObjectCreator and Recursive. We present a provisional catalogue of 17 such nano-patterns. ...
Jeremy Singer, Gavin Brown, Mikel Luján, Ad...
TVCG
2008
107views more  TVCG 2008»
13 years 9 months ago
Promoting Insight-Based Evaluation of Visualizations: From Contest to Benchmark Repository
Information Visualization (InfoVis) is now an accepted and growing field but questions remain about the best uses for and the maturity of novel visualizations. Usability studies a...
Catherine Plaisant, Jean-Daniel Fekete, Georges G....