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» Classification Using Geometric Level Sets
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CVPR
2007
IEEE
14 years 9 months ago
Hierarchical Matching of Deformable Shapes
We describe a new hierarchical representation for twodimensional objects that captures shape information at multiple levels of resolution. This representation is based on a hierar...
Pedro F. Felzenszwalb, Joshua D. Schwartz
ICIAP
2009
ACM
14 years 8 months ago
Multi-class Binary Symbol Classification with Circular Blurred Shape Models
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
ICCV
2009
IEEE
15 years 17 days ago
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
Recognizing object classes and their 3D viewpoints is an important problem in computer vision. Based on a partbased probabilistic representation [31], we propose a new 3D object...
Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese
MLMTA
2003
13 years 9 months ago
Improved Experimental Results Using Fuzzy Lattice Neurocomputing (FLN) Classifiers
— This work shows comparatively the capacity of five Fuzzy Lattice Neurocomputing (FLN) classifiers. The mechanics of the five classifiers are illustrated geometrically on the pl...
Al Cripps, Vassilis G. Kaburlasos, Nghiep Nguyen, ...
BMCBI
2006
114views more  BMCBI 2006»
13 years 7 months ago
A high level interface to SCOP and ASTRAL implemented in Python
Background: Benchmarking algorithms in structural bioinformatics often involves the construction of datasets of proteins with given sequence and structural properties. The SCOP da...
James A. Casbon, Gavin E. Crooks, Mansoor A. S. Sa...