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» Face Class Modeling Using Mixture of SVMs
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AVBPA
2003
Springer
135views Biometrics» more  AVBPA 2003»
15 years 5 months ago
Comparison of MLP and GMM Classifiers for Face Verification on XM2VTS
We compare two classifier approaches, namely classifiers based on Multi Layer Perceptrons (MLPs) and Gaussian Mixture Models (GMMs), for use in a face verification system. The comp...
Fabien Cardinaux, Conrad Sanderson, Sébasti...
MICAI
2009
Springer
15 years 5 months ago
Leukocyte Recognition Using EM-Algorithm
This document describes a method for classifying images of blood cells. Three different classes of cells are used: Band Neutrophils, Eosinophils and Lymphocytes. The image pattern...
Mario Chirinos Colunga, Oscar Sánchez Siord...
ICPR
2010
IEEE
14 years 11 months ago
Variational Mixture of Experts for Classification with Applications to Landmine Detection
Abstract--In this paper, we (1) provide a complete framework for classification using Variational Mixture of Experts (VME); (2) derive the variational lower bound; and (3) apply th...
Seniha Esen Yuksel, Paul D. Gader
NIPS
2001
15 years 2 months ago
Global Coordination of Local Linear Models
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinto...
FGR
2011
IEEE
227views Biometrics» more  FGR 2011»
14 years 4 months ago
Warp that smile on your face: Optimal and smooth deformations for face recognition
— In this work, we present novel warping algorithms for full 2D pixel-grid deformations for face recognition. Due to high variation in face appearance, face recognition is consid...
Tobias Gass, Leonid Pishchulin, Philippe Dreuw, He...