Class-Specific Kernel Selection for Verification Problems

Advances in Pattern Recognition ◽

10.1142/9789812772381_0047 ◽

2006 ◽

Author(s):

Ranjeeth Kumar ◽

C. V. Jawahar

Keyword(s):

Kernel Selection ◽

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A survey on online kernel selection for online kernel learning

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery ◽

10.1002/widm.1295 ◽

2018 ◽

Vol 9 (2) ◽

pp. e1295 ◽

Author(s):

Xiao Zhang ◽

Yun Liao ◽

Shizhong Liao

Keyword(s):

Kernel Learning ◽

Kernel Selection ◽

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Minimum-entropy, PDF approximation, and kernel selection for measurement estimation

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2003.814816 ◽

2003 ◽

Vol 52 (4) ◽

pp. 1009-1020 ◽

Author(s):

J.I. De la Rosa ◽

G.A. Fleury ◽

M. Davoust

Keyword(s):

Minimum Entropy ◽

Kernel Selection ◽

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Multi-task feature and kernel selection for SVMs

Twenty-first international conference on Machine learning - ICML '04 ◽

10.1145/1015330.1015426 ◽

2004 ◽

Author(s):

Tony Jebara

Keyword(s):

Kernel Selection ◽

Task Feature ◽

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Optimizing the kernel selection for support vector machines using performance measures

Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India - A2CWiC '10 ◽

10.1145/1858378.1858386 ◽

2010 ◽

Author(s):

R. Sangeetha ◽

B. Kalpana

Keyword(s):

Support Vector Machines ◽

Performance Measures ◽

Support Vector ◽

Kernel Selection ◽

Vector Machines ◽

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TF-representation kernel selection for sensorless speed measurement of AC machines

Seventh International Conference on Power Electronics and Variable Speed Drives ◽

10.1049/cp:19980545 ◽

1998 ◽

Author(s):

J.A. Restrepo

Keyword(s):

Ac Machines ◽

Speed Measurement ◽

Kernel Selection ◽

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A meta-learning approach to automatic kernel selection for support vector machines

Neurocomputing ◽

10.1016/j.neucom.2006.03.004 ◽

2006 ◽

Vol 70 (1-3) ◽

pp. 173-186 ◽

Author(s):

Shawkat Ali ◽

Kate A. Smith-Miles

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Learning Approach ◽

Kernel Selection ◽

Vector Machines ◽

Meta Learning ◽

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SU-F-207-12: Optimal CT Scan Mode and Reconstruction Kernel Selection for Bone Fracture Detection Task Under Both Centered and Off-Centered Conditions

Medical Physics ◽

10.1118/1.4925256 ◽

2015 ◽

Vol 42 (6Part26) ◽

pp. 3544-3544

Author(s):

J Cruz Bastida ◽

D Gomez-Cardona ◽

K Li ◽

T Szczykutowicz ◽

G-H Chen

Keyword(s):

Ct Scan ◽

Bone Fracture ◽

Detection Task ◽

Fracture Detection ◽

Kernel Selection ◽

Reconstruction Kernel ◽

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Kernel selection for sensorless speed measurement of AC machines (Wigner vs Page representation)

IECON '98. Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.98CH36200) ◽

10.1109/iecon.1998.724229 ◽

2002 ◽

Author(s):

J.A. Restrepo ◽

M.I. Gimenez ◽

V.M. Guzman ◽

J.M. Aller ◽

A. Bueno

Keyword(s):

Ac Machines ◽

Speed Measurement ◽

Kernel Selection ◽

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Single Kernel Selection for Increased Grain Oil in Maize Synthetics and High-Oil Hybrid Development

Plant Breeding Reviews ◽

10.1002/9780470650240.ch8 ◽

2010 ◽

pp. 153-175 ◽

Author(s):

R. J. Lambert ◽

D. E. Alexander ◽

I. J. Mejaya

Keyword(s):

Kernel Selection ◽

Selection For ◽

Hybrid Development

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Alignment Based Kernel Selection for Multi-Label Learning

Neural Processing Letters ◽

10.1007/s11063-018-9863-z ◽

2018 ◽

Vol 49 (3) ◽

pp. 1157-1177 ◽

Author(s):

Linlin Chen ◽

Degang Chen ◽

Hui Wang

Keyword(s):

Kernel Selection ◽

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