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» Comparing distributions and shapes using the kernel distance
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ICCV
2009
IEEE
16 years 2 months ago
Active Appearance Models with Rotation Invariant Kernels
2D Active Appearance Models (AAM) and 3D Morphable Models (3DMM) are widely used techniques. AAM provide a fast fitting process, but may represent unwanted 3D transformations un...
Onur C. Hamsici, Aleix M. Martinez
BMCBI
2008
123views more  BMCBI 2008»
14 years 9 months ago
PocketMatch: A new algorithm to compare binding sites in protein structures
Background: Recognizing similarities and deriving relationships among protein molecules is a fundamental requirement in present-day biology. Similarities can be present at various...
Kalidas Yeturu, Nagasuma Chandra
ICIP
2009
IEEE
14 years 7 months ago
Shapes as empirical distributions
We address the problem of shape based classification. We interpret the shape of an object as a probability distribution governing the location of the points of the object. An imag...
Bernardo Rodrigues Pires, José M. F. Moura
CSB
2003
IEEE
110views Bioinformatics» more  CSB 2003»
15 years 2 months ago
Prokaryote Phylogeny without Sequence Alignment: From Avoidance Signature to Composition Distance
A new and essentially simple method to reconstruct prokaryotic phylogenetic trees from their complete genome data without using sequence alignment is proposed. It is based on the ...
Bailin Hao, Ji Qi
IJCAT
2010
133views more  IJCAT 2010»
14 years 8 months ago
A 3D shape classifier with neural network supervision
: The task of 3D shape classification is to assign a set of unordered shapes into pre-tagged classes with class labels, and find the most suitable class for a newly given shape. In...
Zhenbao Liu, Jun Mitani, Yukio Fukui, Seiichi Nish...