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Pattern Recognition, ISSN 0031-3203, 02/2020, Volume 98, p. 107040
Subspace is widely used to represent objects under different viewpoints, illuminations, identities, and more. Due to the growing amount and dimensionality of... 
Nearest subspace search | Hashing | Learning binary code | Matrix classifier
Journal Article
Information Sciences, ISSN 0020-0255, 01/2020, Volume 509, pp. 164 - 182
State-of-the-art methods for finding the -best solutions to graph matching (QAP) rely on exclusion strategies. The -th best solution is found by excluding all... 
Binary-tree partitions | QAP | m-best graph matching | Computer science
Journal Article
Neurocomputing, ISSN 0925-2312, 04/2019, Volume 336, pp. 3 - 12
Graph-based representations are powerful tools in structural pattern recognition and machine learning. In this paper, we propose a framework of computing the... 
Depth-based representations | Deep representations | Prototype representations | Deep autoencoder networks | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | KERNELS | Machine learning
Journal Article
Soft Computing, ISSN 1432-7643, 12/2019, Volume 23, Issue 24, pp. 13055 - 13065
Low-rank decomposition (LRD) is an effective scheme to explore the affinity among superpixels in the image and video segmentation. However, the superpixel... 
Engineering | The enhanced superpixel | Computational Intelligence | Control, Robotics, Mechatronics | Artificial Intelligence | Video segmentation | Mathematical Logic and Foundations | LRD
Journal Article
Neurocomputing, ISSN 0925-2312, 04/2019, Volume 337, pp. 58 - 66
Cross-modal hashing has demonstrated advantages on fast retrieval tasks. It improves the quality of hash coding by exploiting semantic correlation across... 
Retrieval | Cross-modal | Deep hashing | Semantic embedding | BINARY-CODES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Analysis | Big data
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 05/2019, Volume 28, Issue 5, pp. 2187 - 2199
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 2018
In this paper, we investigate both undirected and directed network evolution using the Euler–Lagrange equation. We use the Euler–Lagrange equation to develop a... 
Approximate von neumann entropy | Dynamic networks | Euler–Lagrange equation
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 05/2019, Volume 28, Issue 5, pp. 2187 - 2199
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 02/2017, Volume 87, p. 12
The estimation of mutual information between graphs has been an elusive problem until the formulation of graph matching in terms of manifold alignment. Then,... 
Alignment | Topological manifolds | Graphs | Graph comparison | Graph theory | Entropy | Embedded structures | Graph matching
Journal Article
IEEE Transactions on Cybernetics, ISSN 2168-2267, 7/2019, pp. 1 - 14
We develop a novel method for measuring the similarity between complete weighted graphs, which are probed by means of the discrete-time quantum walks. Directly... 
Weight measurement | quantum walks | Quantum computing | Laplace equations | Image edge detection | Time series analysis | graph kernels | Jensen-Shannon divergence | Entropy | Financial networks | Kernel | graph similarity
Journal Article
Pattern Recognition, ISSN 0031-3203, 02/2018, Volume 74, pp. 373 - 384
Recovering facial albedo from low quality face images is a challenging task which arises when face recognition is attempted in the wild. Low quality of facial... 
Low quality facial image | Sparse coding | ADMM | Facial albedo estimation | SVD | HALLUCINATION | ROBUST FACE RECOGNITION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Biometry
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 06/2016, Volume 27, Issue 6, pp. 1290 - 1293
Traditional machine learning and pattern recognition techniques are intimately linked to the notion of feature spaces. Adopting this view, each object is... 
Learning systems | Geometry | Deep learning | Special issues and sections | Computational modeling | Machine learning | Integer linear programming | Pattern recognition
Journal Article
Journal of Complex Networks, ISSN 2051-1310, 12/2017, Volume 5, Issue 6, pp. 858 - 883
Journal Article
Journal of Complex Networks, ISSN 2051-1310, 07/2018, Volume 6, Issue 3, pp. 404 - 429
Journal Article
Pattern Recognition, ISSN 0031-3203, 04/2015, Volume 48, Issue 4, pp. 1574 - 1575
Journal Article
Pattern Recognition, ISSN 0031-3203, 04/2015, Volume 48, Issue 4, pp. 1574 - 1575
Journal Article
Axioms, ISSN 2075-1680, 09/2015, Volume 4, Issue 3, pp. 275 - 293
  In this paper, we investigate the heat kernel embedding as a route to graph representation. The heat kernel of the graph encapsulates information concerning... 
Graph clustering | Graph spectra | Graph embedding | Differential geometry | Kernel-based methods | Kernels | Euclidean geometry | Computation | Mathematical analysis | Graphs | Graph theory | Curvature | differential geometry | graph embedding | kernel-based methods | graph spectra | graph clustering
Journal Article
Journal of Complex Networks, ISSN 2051-1310, 10/2018, Volume 6, Issue 5, pp. 831 - 831
Journal Article
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