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AUTOID
2005
IEEE
15 years 11 months ago
Experiments with an Improved Iris Segmentation Algorithm
Iris is claimed to be one of the best biometrics. We have collected a large data set of iris images, intentionally sampling a range of quality broader than that used by current co...
Xiaomei Liu, Kevin W. Bowyer, Patrick J. Flynn
IV
2005
IEEE
136views Visualization» more  IV 2005»
15 years 11 months ago
Improved Visual Clustering of Large Multi-dimensional Data Sets
Lowering computational cost of data analysis and visualization techniques is an essential step towards including the user in the visualization. In this paper we present an improve...
Eduardo Tejada, Rosane Minghim
KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 10 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
ICONIP
2010
15 years 4 months ago
Improving Recurrent Neural Network Performance Using Transfer Entropy
Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...
Oliver Obst, Joschka Boedecker, Minoru Asada
TSD
2009
Springer
16 years 21 days ago
Improving the Clustering of Blogosphere with a Self-term Enriching Technique
The analysis of blogs is emerging as an exciting new area in the text processing field which attempts to harness and exploit the vast quantity of information being published by ind...
Fernando Perez-Tellez, David Pinto, John Cardiff, ...