scholarly journals Prediction of protein relative solvent accessibility with support vector machines and long-range interaction 3D local descriptor

2003 ◽  
Vol 54 (3) ◽  
pp. 557-562 ◽  
Author(s):  
Hyunsoo Kim ◽  
Haesun Park
Keyword(s):  
Support Vector Machines ◽  
Long Range ◽  
Solvent Accessibility ◽  
Support Vector ◽  
Relative Solvent Accessibility ◽  
Range Interaction ◽  
Local Descriptor ◽  
Vector Machines ◽  
Long Range Interaction

LOCAL DESCRIPTOR MATCHING WITH SUPPORT VECTOR MACHINES

2010 ◽  
Vol 07 (01) ◽  
pp. 59-80
Author(s):  
D. CHENG ◽  
S. Q. XIE ◽  
E. HÄMMERLE
Keyword(s):  
Machine Learning ◽  
Support Vector Machines ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Local Descriptor ◽  
Local Descriptors ◽  
Vector Machines ◽  
Three Stages ◽  
Image Transformations

Local descriptor matching is the most overlooked stage of the three stages of the local descriptor process, and this paper proposes a new method for matching local descriptors based on support vector machines. Results from experiments show that the developed method is more robust for matching local descriptors for all image transformations considered. The method is able to be integrated with different local descriptor methods, and with different machine learning algorithms and this shows that the approach is sufficiently robust and versatile.

Prediction of protein solvent accessibility using support vector machines

2002 ◽  
Vol 48 (3) ◽  
pp. 566-570 ◽  
Author(s):  
Zheng Yuan ◽  
Kevin Burrage ◽  
John S. Mattick
Keyword(s):  
Support Vector Machines ◽  
Solvent Accessibility ◽  
Support Vector ◽  
Vector Machines
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