@inproceedings{Vareto:2016:WFPA,
title = {Face Identification in Large Galleries},
author = {Rafael Henrique Vareto and Filipe Oliveira de Costa and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2016_WFPA.pdf},
year = {2016},
date = {2016-10-02},
booktitle = {Workshop on Face Processing Applications},
pages = {1-4},
keywords = {DeepEyes, Face Identification, Face Recognition, GigaFrames, VER+},
pubstate = {published},
tppubtype = {inproceedings}
}

@article{Santos:2016:Neurocomputing,
title = {Partial least squares for face hashing},
author = {Cassio Elias Santos dos Junior and Ewa Kijak and Guillaume Gravier and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2016_Neurocomputing_Santos.pdf},
year = {2016},
date = {2016-02-03},
journal = {Neurocomputing},
volume = {213},
pages = {34--47},
keywords = {Face Identification, Face Recognition, Featured Publication, Partial Least Squares},
pubstate = {published},
tppubtype = {article}
}

@mastersthesis{Santos:2015:MSc,
title = {Partial Least Squares for Face Hashing},
author = {Cassio Elias Santos dos Junior},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/dissertation_2015_Cassio.pdf},
year = {2015},
date = {2015-08-24},
school = {Federal University of Minas Gerais},
abstract = {Face identification is an important research topic due to areas such as its application to surveillance, forensics and human-computer interaction. In the past few years, a myriad of methods for face identification has been proposed in the literature, with just a few among them focusing on scalability. In this work, we propose a simple but efficient approach for scalable face identification based on partial least squares (PLS) and random independent hash functions inspired by locality-sensitive hashing (LSH), resulting in the PLS for hashing (PLSH) approach. The original PLSH approach is further extended using feature selection to reduce the computational cost to evaluate the PLS-based hash functions, resulting in the state-of-the-art extended PLSH approach (ePLSH). The proposed approach is evaluated in the dataset FERET and in the dataset FRGCv1. The results show significant reduction in the number of subjects evaluated in the face identification (reduced to 0.3% of the gallery), providing averaged speedups up to 233 times compared to evaluating all subjects in the face gallery and 58 times compared to previous works in the literature.},
keywords = {DeepEyes, Face Identification, Face Recognition, GigaFrames, Indexing Structure, Local Sensitive Hashing, Partial Least Squares, VER+},
pubstate = {published},
tppubtype = {mastersthesis}
}

@inproceedings{santos2015learning,
title = {Learning to Hash Faces Using Large Feature Vectors},
author = {Cassio Elias Santos dos Junior and E Kijak and G Gravier and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2015-Learning_to_Hash_Faces_Using_Large_Feature_Vectors.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Content-Based Multimedia Indexing (CBMI), 13th International Workshop on},
pages = {1--6},
publisher = {IEEE},
keywords = {Face Identification, Face Recognition, GigaFrames, Indexing Structure, Locality Sensitive Hashing, Partial Least Squares, SmartView, VER+},
pubstate = {published},
tppubtype = {inproceedings}
}

@article{2015:JVCI:Carlos,
title = {Classification schemes based on Partial Least Squares for face identification},
author = {Gerson Paulo de Carlos and Helio Pedrini and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2015_JVCI.pdf},
issn = {1047-3203},
year = {2015},
date = {2015-01-01},
journal = {Journal of Visual Communication and Image Representation},
volume = {32},
pages = {170 - 179},
keywords = {Face Identification, Face Recognition, One-Against-All Classification Scheme, Partial Least Squares, VER+},
pubstate = {published},
tppubtype = {article}
}

@inproceedings{sibgrapi2014extending,
title = {Extending Face Identification to Open-Set Face Recognition},
author = {Cassio Elias Santos dos Junior and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2014-Extending-Face-Identification-to-Open-Set-Face-Recognition.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {Conference on Graphics, Patterns and Images (SIBGRAPI)},
pages = {1-8},
keywords = {ARDOP, Face Identification, Face Recognition, Open-Set Classification, SmartView},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Carlos:2013:FG,
title = {Fast and Scalable Enrollment for Face Identification based on Partial Least Squares},
author = {G P Carlos and H Pedrini and William Robson Schwartz},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/paper_2013_FG.pdf},
year = {2013},
date = {2013-01-01},
booktitle = {IEEE International Conference on Automatic Face and Gesture Recognition},
keywords = {ARDOP, Face Identification, Face Recognition, One-Against-Some Classification Scheme},
pubstate = {published},
tppubtype = {inproceedings}
}

@article{schwartz2012face,
title = {Face identification using large feature sets},
author = {William Robson Schwartz and Huimin Guo and Jonghyun Choi and Larry S Davis},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2012-Face-identification-using-large-feature-sets.pdf},
year = {2012},
date = {2012-01-01},
journal = {Image Processing, IEEE Transactions on},
volume = {21},
number = {4},
pages = {2245--2255},
publisher = {IEEE url = https://googledrive.com/host/0B53xd8WZN11YeTRvemlqYkJNd0E/paper_2011_TIP.pdf},
keywords = {Face Identification, Face Recognition, Indexing Structure, Partial Least Squares, PFI},
pubstate = {published},
tppubtype = {article}
}

@inproceedings{Choi:2012:WACV,
title = {A Complementary Local Feature Descriptor for Face Identification},
author = {J Choi and H Guo and William Robson Schwartz and L S Davis},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2012-A-Complementary-Local-Feature-Descriptor-for-Face-Identification.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {IEEE Workshop on Applications of Computer Vision},
pages = {121-128},
keywords = {CCS-POP, Face Identification, Face Recognition, Feature Extraction},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Schwartz:2010:ECCV,
title = {A Robust and Scalable Approach to Face Identification},
author = {William Robson Schwartz and H Guo and L S Davis},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2010-A-Robust-and-Scalable-Approach-to-Face-Identification.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {European Conference on Computer Vision},
volume = {6316},
pages = {476-489},
series = {Lecture Notes in Computer Science},
keywords = {Face Identification, Face Recognition, One-Against-All Classification Scheme, Partial Least Squares, PFI},
pubstate = {published},
tppubtype = {inproceedings}
}