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CIARP
2007
Springer
16 years 19 days ago
Multi-class Binary Object Categorization Using Blurred Shape Models
The main difficulty in the binary object classification field lays in dealing with a high variability of symbol appearance. Rotation, partial occlusions, elastic deformations, or...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
CVPR
2006
IEEE
16 years 8 months ago
Graph Laplacian Kernels for Object Classification from a Single Example
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
Hong Chang, Dit-Yan Yeung
PAMI
2010
170views more  PAMI 2010»
15 years 4 months ago
On the Decoding Process in Ternary Error-Correcting Output Codes
—A common way to model multiclass classification problems is to design a set of binary classifiers and to combine them. Error-Correcting Output Codes (ECOC) represent a successfu...
Sergio Escalera, Oriol Pujol, Petia Radeva
WINE
2005
Springer
206views Economy» more  WINE 2005»
15 years 12 months ago
Exchange Market Equilibria with Leontief's Utility: Freedom of Pricing Leads to Rationality
This paper studies the equilibrium property and algorithmic complexity of the exchange market equilibrium problem with concave piece-wise linear functions, which include linear an...
Yinyu Ye
CVPR
2001
IEEE
16 years 8 months ago
Learning Probabilistic Distribution Model for Multi-View Face Detection
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
Lie Gu, Stan Z. Li, HongJiang Zhang