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FGR
2004
IEEE
132views Biometrics» more  FGR 2004»
13 years 10 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
CVPR
2012
IEEE
11 years 9 months ago
The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle seg
The use of statistical pattern recognition models to segment the left ventricle of the heart in ultrasound images has gained substantial attention over the last few years. The mai...
Gustavo Carneiro, Jacinto C. Nascimento
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
CVPR
2007
IEEE
14 years 1 months ago
Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set
Aiming at the problem when both positive and negative training set are enormous, this paper proposes a novel Matrix-Structural Learning (MSL) method, as an extension to Viola and ...
Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao, J...
AIRS
2010
Springer
13 years 4 months ago
Advanced Training Set Construction for Retrieval in Historic Documents
Retrieval in historic documents with non-standard spelling requires a mapping from search terms onto the historic terms in the document. For describing this mapping, we have develo...
Andrea Ernst-Gerlach, Norbert Fuhr