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IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 02/2017, Volume 39, Issue 2, p. 444
Journal Article
Computer Vision and Image Understanding, ISSN 1077-3142, 05/2017, Volume 158, pp. 126 - 140
Compressive sensing, matrix rank optimization and Robust PCA-based matrix decomposition have an increasing number of non-convex approaches for optimizing the... 
Robust principal component analysis | Non-convex optimization | Sparse minimization | Low-rank minimization
Journal Article
Computer Vision and Image Understanding, ISSN 1077-3142, 05/2017, Volume 158, p. 126
To access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: http://dx.doi.org/10.1016/j.cviu.2017.03.002 
Computer science | Algorithms | Analysis
Journal Article
Computer Vision and Image Understanding, ISSN 1077-3142, 05/2017, Volume 158, pp. 126 - 140
Journal Article
Computer Vision and Image Understanding, ISSN 1077-3142, 05/2017, Volume 158, p. 126
* Two non-convex l.sub.p -norm (0 < p < 1) relaxation forms of the RPCA problem are proposed. * Develop ADMM framework for offline and online RPCA via SVD and... 
Computer science | Algorithms | Analysis
Journal Article
The American Journal of Human Genetics, ISSN 0002-9297, 01/2013, Volume 92, Issue 1, pp. 67 - 75
Journal Article
Journal Article
The American Journal of Human Genetics, ISSN 0002-9297, 02/2012, Volume 90, Issue 2, pp. 321 - 330
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2018, Volume 10882, pp. 285 - 292
Conference Proceeding
2016 23rd International Conference on Pattern Recognition (ICPR), ISSN 1051-4651, 12/2016, pp. 2746 - 2751
In this paper, we propose two new approaches using the Convolution Neural Network (CNN) and the Recurrent Neural Network (RNN) for tracking 3D hand poses. The... 
Visualization | Recurrent neural networks | Three-dimensional displays | Pose estimation | Feature extraction | History | Optimization
Conference Proceeding
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2016, Volume 2016-, pp. 5772 - 5780
Modeling the face aging process is a challenging task due to large and non-linear variations present in different stages of face development. This paper... 
Shape | Databases | Computational modeling | Forensics | Aging | Feature extraction | Face
Conference Proceeding
2016 23rd International Conference on Pattern Recognition (ICPR), ISSN 1051-4651, 12/2016, pp. 390 - 395
This paper presents a novel Robust Deep Appearance Models (RDAMs) approach to learn the non-linear correlation between shape and texture of face images. In... 
Shape | Computational modeling | Robustness | Face | Active appearance model | Image reconstruction | Principal component analysis
Conference Proceeding
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2015, Volume 7-12-, pp. 4786 - 4794
The "interpretation through synthesis", i.e. Active Appearance Models (AAMs) method, has received considerable attention over the past decades. It aims at... 
Shape | Databases | Computational modeling | Face | Active appearance model | Principal component analysis | Testing | Dams | Facial | Images | Age determination | Mathematical models | Pattern recognition | Representations | Texture
Conference Proceeding
Journal Article
Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), ISSN 1051-4651, 11/2012, pp. 2715 - 2718
This paper proposes a novel approach named Compressed Submanifold Multifactor Analysis (CSMA) to concisely and precisely deal with multifactor analysis.... 
Training | Tensile stress | Databases | Shape | Vectors | Approximation methods | Principal component analysis
Conference Proceeding
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