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ICASSP
2011
IEEE
14 years 1 months ago
BEMD for expression transformation in face recognition
This work presents a novel methodology for the transformation of facial expressions, to assist face biometrics. It is known that identification using only one image per subject p...
Hoda Mohammadzade, Foteini Agrafioti, Jiexin Gao, ...
JMLR
2012
13 years 15 days ago
On Nonparametric Guidance for Learning Autoencoder Representations
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
IBPRIA
2005
Springer
15 years 3 months ago
Dynamic Texture Recognition Using Normal Flow and Texture Regularity
The processing, description and recognition of dynamic (time-varying) textures are new exciting areas of texture analysis. Many real-world textures are dynamic textures whose retri...
Renaud Péteri, Dmitry Chetverikov
CVPR
2006
IEEE
16 years 2 days ago
Selecting Principal Components in a Two-Stage LDA Algorithm
Linear Discriminant Analysis (LDA) is a well-known and important tool in pattern recognition with potential applications in many areas of research. The most famous and used formul...
Aleix M. Martínez, Manli Zhu
KES
2005
Springer
15 years 3 months ago
Feature Generation by Simple FLD
This paper presents a new algorithm for feature generation, which is approximately derived based on geometrical interpretation of the Fisher linear discriminant analysis. In a fiel...
Minoru Fukumi, Yasue Mitsukura