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Presentation
3660views
15 years 8 months ago
Robust Centerline Extraction Framework Using Level Sets
In this paper, we present a novel framework for computing centerlines for both 2D and 3D shape analysis. The framework works as follows: an object centerline point is selected auto...
M. Sabry Hassouna
ICDAR
2005
IEEE
14 years 1 months ago
Fast Vector Matching Methods and Their Applications to Handwriting Recognition
A common practice in pattern recognition is to classify an unknown object by matching its feature vector with all the feature vectors stored in a database. When the number of clas...
Ying-Ho Liu, Wen-Hsiung Lin, Fu Chang, Chin-Chin L...
JAL
1998
74views more  JAL 1998»
13 years 7 months ago
A Survey of Fast Exponentiation Methods
Public-key cryptographic systems often involve raising elements of some group (e.g. GF(2n), Z/NZ, or elliptic curves) to large powers. An important question is how fast this expon...
Daniel M. Gordon
IRI
2007
IEEE
14 years 1 months ago
Software Defects Prediction using Operating Characteristic Curves
We present a software defect prediction model using operating characteristic curves. The main idea behind our proposed technique is to use geometric insight in helping construct a...
Torsten Bergander, Yan Luo, A. Ben Hamza
CVIU
2004
143views more  CVIU 2004»
13 years 7 months ago
Shape matching of partially occluded curves invariant under projective transformation
This paper describes a method to identify partially occluded shapes which are randomly oriented in 3D space. The goal is to match the object contour present in an image with an ob...
Carlos Orrite, José Elías Herrero Ja...