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Face recognition (FR) is the most preferred mode for biometric-based surveillance, due to its passive nature of detecting subjects, amongst all different types of biometric traits.
Eigenfaces for recognition
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Eigenfaces vs. fisherfaces: Recognition using class specific linear projection
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Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition
C. Liu and H. Wechsler · 2002
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Multiple kernel learning, conic duality, and the smo algorithm
F. R. Bach, G. R. Lanckriet, and M. I. Jordan · 2004
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A statistical framework for genomic data fusion
G. R. Lanckriet, T. De Bie, N. Cristianini, M. I. Jordan, and W. S. Noble · 2004
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Robust real-time face detection
P. Viola and M. J. Jones · 2004
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T. Ahonen, A. Hadid, and M. Pietikainen · 2006
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Large scale multiple kernel learning
S. Sonnenburg, G. Rätsch, C. Schäfer, and B. Schölkopf · 2006
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A visual bag of words method for interactive qualitative localization and mapping
D. Filliat · 2007
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Direct importance estimation with model selection and its application to covariate shift adaptation
M. Sugiyama, S. Nakajima, H. Kashima, P. von Bünau, and M. Kawanabe · 2007
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Cross-domain video detection using adaptive svms
J. Yang, R. Yan, and A. Hauptmann · 2007
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P. Gehler and S. Nowozin · 2009
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Improving the fisher kernel for large-scale image classification
F. Perronnin, J. Sánchez, and T. Mensink · 2010
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Domain adaptation for object recognition: An unsupervised approach
R. Gopalan, R. Li, and R. Chellappa · 2011
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Scface–surveillance cameras face database
M. Grgic, K. Delac, and S. Grgic · 2011
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Domain adaptation via transfer component analysis
S. J. Pan, I. W. Tsang, J. T. Kwok, and Q. Yang · 2011
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Face recognition on low quality surveillance images, by compensating degradation
S. Rudrani and S. Das · 2011
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Illumination normalization based on weber’s law with application to face recognition
B. Wang, W. Li, W. Yang, and Q. Liao · 2011
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All about vlad
R. Arandjelovic and A. Zisserman · 2013
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Unsupervised visual domain adaptation using subspace alignment
B. Fernando, A. Habrard, M. Sebban, and T. Tuytelaars · 2013
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Efficient learning of domain-invariant image representations
J. Hoffman, E. Rodner, J. Donahue, T. Darrell, and K. Saenko · 2013
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Soft margin multiple kernel learning
X. Xu, I. W. Tsang, and D. Xu · 2013
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Incremental face alignment in the wild
A. Asthana, S. Zafeiriou, S. Cheng, and M. Pantic · 2014
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Face recognition in surveillance conditions with bag-of-words, using unsupervised domain adaptation
S. Banerjee, S. Samanta, and S. Das · 2014
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Heterogeneous domain adaptation using manifold alignment
C. Wang and S. Mahadevan · 2011
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Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition
Y. Wong, S. Chen, S. Mau, C. Sanderson, and B. C. Lovell · 2011
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Multidimensional scaling for matching low-resolution face images
S. Biswas, K. W. Bowyer, and P. J. Flynn · 2012
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Domain adaptation from multiple sources: A domain-dependent regularization approach
L. Duan, D. Xu, and I. W. Tsang · 2012
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Coupled kernel embedding for low-resolution face image recognition
C.-X. Ren, D.-Q. Dai, and H. Yan · 2012
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Dynamic bayesian network for unconstrained face recognition in surveillance camera networks
L. An, M. Kafai, and B. Bhanu · 2013
Cited alongside, same era.
Multiple kernel learning for sparse representation-based classification
A. Shrivastava, V. M. Patel, and R. Chellappa · 2014
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Deep learning face representation from predicting 10,000 classes
Y. Sun, X. Wang, and X. Tang · 2014
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Deep face recognition
O. M. Parkhi, A. Vedaldi, and A. Zisserman · 2015
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Unsupervised domain adaptation using eigenanalysis in kernel space for categorisation tasks
S. Samanta and S. Das · 2015
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Facenet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
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