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AMC
2007
138views more  AMC 2007»
13 years 7 months ago
An experimental comparison of machine learning for adaptive sketch recognition
Benefiting from advances in online sketchy shape recognition system could not be expected before the problem of its adaptability is well solved. In this paper, three methods of m...
Lisha Zhang, Zhengxing Sun
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
14 years 1 months ago
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression
We present two new support vector approaches for ordinal regression. These approaches find the concentric spheres with minimum volume that contain most of the training samples. B...
Shirish Krishnaj Shevade, Wei Chu
CIKM
2009
Springer
14 years 2 months ago
On domain similarity and effectiveness of adapting-to-rank
Adapting to rank address the the problem of insufficient domainspecific labeled training data in learning to rank. However, the initial study shows that adaptation is not always...
Keke Chen, Jing Bai, Srihari Reddy, Belle L. Tseng
ICDAR
2009
IEEE
14 years 2 months ago
A Framework for Adaptation of the Active-DTW Classifier for Online Handwritten Character Recognition
: © A Framework for Adaptation of the Active-DTW Classifier for Online Handwritten Character Recognition Vandana Roy, Sriganesh Madhvanath, Anand S., Raghunath R. Sharma HP Labora...
Vandana Roy, Sriganesh Madhvanath, Anand S., Ragun...
ECTEL
2009
Springer
14 years 2 months ago
LAG 2.0: Refining a Reusable Adaptation Language and Improving on Its Authoring
Reusable adaptation specifications for adaptive behaviour has come to the forefront of adaptive research recently, with EU projects such as GRAPPLE1, and PhD research efforts on de...
Alexandra I. Cristea, David Smits, Jon Bevan, Maur...