Sciweavers

88 search results - page 4 / 18
» Shape Classification Using a Flexible Graph Kernel
Sort
View
GCB
2009
Springer
139views Biometrics» more  GCB 2009»
13 years 9 months ago
Graph-Kernels for the Comparative Analysis of Protein Active Sites
Abstract: Graphs are often used to describe and analyze the geometry and physicochemical composition of biomolecular structures, such as chemical compounds and protein active sites...
Thomas Fober, Marco Mernberger, Ralph Moritz, Eyke...
EMMCVPR
2007
Springer
13 years 11 months ago
Shape Classification Based on Skeleton Path Similarity
Most of the traditional methods for shape classification are based on contour. They often encounter difficulties when dealing with classes that have large nonlinear variability, es...
Xingwei Yang, Xiang Bai, Deguang Yu, Longin Jan La...
NECO
2000
190views more  NECO 2000»
13 years 5 months ago
Generalized Discriminant Analysis Using a Kernel Approach
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...
G. Baudat, Fatiha Anouar
ICIP
2007
IEEE
13 years 12 months ago
Graph Cut Segmentation with Nonlinear Shape Priors
Graph cut image segmentation with intensity information alone is prone to fail for objects with weak edges, in clutter, or under occlusion. Existing methods to incorporate shape a...
James G. Malcolm, Yogesh Rathi, Allen Tannenbaum
CHI
2008
ACM
14 years 6 months ago
Interlaced QWERTY: accommodating ease of visual search and input flexibility in shape writing
Shape writing is an input technology for touch-screen mobile phones and pen-tablets. To shape write text, the user spells out word patterns by sliding a finger or stylus over a gr...
Shumin Zhai, Per Ola Kristensson