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*Lederman, R.R.[Roy R.]*,

**Learning by coincidence:
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*PR(74)*, No. 1, 2018, pp. 52-63.

Elsevier DOI
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Similarity learning
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**Spatial-Adaptive Siamese Residual Network for Multi-/Hyperspectral
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*RS(12)*, No. 10, 2020, pp. xx-yy.

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**2006**

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*Qin, Y.*,
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**Learning Discriminative Embedding for Hyperspectral Image Clustering
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*GeoRS(58)*, No. 1, January 2020, pp. 473-485.

IEEE DOI
**2001**

Clustering algorithms, Clustering methods, Training,
Hyperspectral imaging, Computational modeling,
siamese network
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*Mukherjee, S.[Souvick]*,
*Prasad, S.[Saurabh]*,

**A spatial-spectral semisupervised deep learning framework using
siamese networks and angular loss**,

*CVIU(194)*, 2020, pp. 102943.

Elsevier DOI
**2005**

Semi-supervised deep learning, Angular feature extraction,
Angular softmax classification, Unsupervised pre-training,
Spatial-spectral classification
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*Tang, P.[Ping]*,
*Zhang, Z.[Zheng]*,

**A Developed Siamese CNN with 3D Adaptive Spatial-Spectral Pyramid
Pooling for Hyperspectral Image Classification**,

*RS(12)*, No. 12, 2020, pp. xx-yy.

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**2006**

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*Zhu, M.[Mu]*,
*Zhang, H.[Hui]*,
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*Zhuo, L.[Li]*,

**Multi-level prediction Siamese network for real-time UAV visual
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*IVC(103)*, 2020, pp. 104002.

Elsevier DOI
**2011**

UAV tracking, Small target, Feature fusion, Multi-level prediction
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*Gong, M.M.[Ming-Ming]*,
*Liu, T.L.[Tong-Liang]*,

**HRSiam: High-Resolution Siamese Network, Towards Space-Borne
Satellite Video Tracking**,

*IP(30)*, 2021, pp. 3056-3068.

IEEE DOI
**2103**

Satellites, Target tracking, Spatial resolution, Object tracking,
Tracking, Robustness, Adaptation models, Satellite videos,
gaussian mixture model
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*Ghosh, S.[Souvik]*,
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*Kumar, P.[Pradeep]*,
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**A novel spatio-temporal Siamese network for 3D signature recognition**,

*PRL(144)*, 2021, pp. 13-20.

Elsevier DOI
**2103**

Siamese network, Spatio-temporal relationships, CNN, LSTM,
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*Ren, Y.[Yi]*,
*Parr, G.[Gerard]*,
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**Invariant Deep Compressible Covariance Pooling for Aerial Scene
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IEEE DOI
**2108**

Tensors, Manifolds, Feature extraction, Covariance matrices,
Remote sensing, Computer architecture, Matrix decomposition,
Stiefel manifold and aerial scene categorization
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Springer DOI

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*Zhang, L.C.[Li-Chao]*,
*Gonzalez-Garcia, A.[Abel]*,
*van de Weijer, J.[Joost]*,
*Danelljan, M.[Martin]*,
*Khan, F.S.[Fahad Shahbaz]*,

**Learning the Model Update for Siamese Trackers**,

*ICCV19*(4009-4018)

IEEE DOI
**2004**

convolutional neural nets, learning (artificial intelligence),
object tracking, Siamese trackers, model update, Correlation
BibRef

*Roy, S.[Soumava]*,
*Harandi, M.[Mehrtash]*,
*Nock, R.[Richard]*,
*Hartley, R.I.[Richard I.]*,

**Siamese Networks: The Tale of Two Manifolds**,

*ICCV19*(3046-3055)

IEEE DOI
**2004**

Siamese networks are non-linear deep models.
geometry, gradient methods, image classification,
learning (artificial intelligence), neural nets, Optimization
BibRef

*Su, W.*,
*Hsu, C.*,
*Huang, Z.*,
*Lin, C.*,
*Cheung, G.*,

**Joint Pairwise Learning and Image Clustering Based on a Siamese CNN**,

*ICIP18*(1992-1996)

IEEE DOI
**1809**

Feature extraction, Graphics processing units, Visualization,
Computer architecture, Clustering methods, Noise measurement,
convolutional neural network
BibRef

*Vetrova, V.*,
*Coup, S.*,
*Frank, E.*,
*Cree, M.J.*,

**Hidden Features: Experiments with Feature Transfer for Fine-Grained
Multi-Class and One-Class Image Categorization**,

*IVCNZ18*(1-6)

IEEE DOI
**1902**

Feature extraction, Task analysis, Convolutional neural networks,
Training, Tuning, Support vector machines, Image recognition,
Siamese networks
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*Feng, W.[Wu]*,
*Liu, D.[Dong]*,

**Fine-Grained Image Recognition from Click-Through Logs Using Deep
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*MMMod17*(I: 127-138).

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**1701**

Need large scale labeled datasets for training.
Dog breeds.
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*Vijay Kumar, B.G.*,
*Carneiro, G.[Gustavo]*,
*Reid, I.D.[Ian D.]*,

**Learning Local Image Descriptors with Deep Siamese and Triplet
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*CVPR16*(5385-5394)

IEEE DOI
**1612**

BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in

Neural Networks Applied to Specific Problems .

Last update:Dec 7, 2021 at 16:42:42