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» Comparative Testing of Face Detection Algorithms
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ICPR
2002
IEEE
14 years 8 months ago
Face Detection and Synthesis Using Markov Random Field Models
Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
Sarat C. Dass, Anil K. Jain, Xiaoguang Lu
ICDM
2002
IEEE
188views Data Mining» more  ICDM 2002»
14 years 10 days ago
A Comparative Study of RNN for Outlier Detection in Data Mining
We have proposed replicator neural networks (RNNs) as an outlier detecting algorithm [15]. Here we compare RNN for outlier detection with three other methods using both publicly a...
Graham J. Williams, Rohan A. Baxter, Hongxing He, ...
FGR
2004
IEEE
132views Biometrics» more  FGR 2004»
13 years 11 months ago
Expand Training Set for Face Detection by GA Re-sampling
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this ...
Jie Chen, Xilin Chen, Wen Gao
ICMCS
2006
IEEE
171views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Detection and Restoration of Occlusions for 3D Face Recognition
This paper presents an innovative restoration strategy which allows for an effective recognition of 3D faces, even when they are partially occluded by unforeseen, extraneous objec...
Alessandro Colombo, Claudio Cusano, Raimondo Schet...
FGR
2008
IEEE
299views Biometrics» more  FGR 2008»
14 years 1 months ago
Face recognition with occlusions in the training and testing sets
Partial occlusions in face images pose a great problem for most face recognition algorithms. Several solutions to this problem have been proposed over the years – ranging from d...
Hongjun Jia, Aleix M. Martínez