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Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey


Oct 18, 2021
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

* To appear as a part of an upcoming textbook on dimensionality reduction and manifold learning 

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KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey


Oct 05, 2021
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

* To appear partly as a part of an upcoming textbook on dimensionality reduction and manifold learning 

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Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds


Aug 25, 2021
Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley


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Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey


Aug 25, 2021
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

* To appear as a part of an upcoming textbook on dimensionality reduction and manifold learning 

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Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey


Aug 09, 2021
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

* To appear as a part of an upcoming textbook on dimensionality reduction and manifold learning 

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Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey


Jul 26, 2021
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

* To appear as a part of an upcoming textbook on dimensionality reduction and manifold learning 

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Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey


Jun 29, 2021
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

* To appear as a part of an upcoming textbook on dimensionality reduction and manifold learning 

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Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey


Jun 15, 2021
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

* To appear as a part of an upcoming textbook on dimensionality reduction and manifold learning 

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Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey


Jun 03, 2021
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

* To appear as a part of an upcoming textbook on dimensionality reduction and manifold learning 

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Generative Locally Linear Embedding


Apr 04, 2021
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley


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Magnification Generalization for Histopathology Image Embedding


Jan 18, 2021
Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, H. R. Tizhoosh

* Accepted for presentation at International Symposium on Biomedical Imaging (ISBI'2021) 

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Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey


Jan 04, 2021
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

* To appear as a part of an upcoming textbook on dimensionality reduction and manifold learning 

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Locally Linear Embedding and its Variants: Tutorial and Survey


Nov 22, 2020
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

* To appear as a part of an upcoming textbook on dimensionality reduction and manifold learning 

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Sampling Algorithms, from Survey Sampling to Monte Carlo Methods: Tutorial and Literature Review


Nov 02, 2020
Benyamin Ghojogh, Hadi Nekoei, Aydin Ghojogh, Fakhri Karray, Mark Crowley

* The first three authors contributed equally to this work 

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Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling


Sep 29, 2020
Parisa Abdolrahim Poorheravi, Benyamin Ghojogh, Vincent Gaudet, Fakhri Karray, Mark Crowley

* The first two authors contributed equally to this work 

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Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey


Sep 22, 2020
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

* To appear as a part of an upcoming academic book on dimensionality reduction and manifold learning 

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Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data


Sep 22, 2020
Juan Carrillo, Mark Crowley, Guangyuan Pan, Liping Fu

* Published also in proceedings of the TAC-ITS 2019 Conference 
* Source code for experiments is available at https://github.com/jmcarrillog/deep-learning-for-road-surface-condition 

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Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees


Sep 22, 2020
Juan Carrillo, Daniel Garijo, Mark Crowley, Rober Carrillo, Yolanda Gil, Katherine Borda

* Proceedings of the Third International Workshop on Capturing Scientific Knowledge co-located with the 10th International Conference on Knowledge Capture (K-CAP 2019) 
* Previously published as part of the SciKnow 2019 Workshop, November 19th, 2019. Los Angeles, California, USA. Collocated with the tenth International Conference on Knowledge Capture (K-CAP) 

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Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey


Sep 17, 2020
Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley

* To appear as a part of an upcoming academic book on dimensionality reduction and manifold learning 

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Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem


Jul 10, 2020
Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, H. R. Tizhoosh

* The first two authors contributed equally to this work 

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Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches


Jul 04, 2020
Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, H. R. Tizhoosh

* The first two authors contributed equally to this work 

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Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition


Jun 28, 2020
Benyamin Ghojogh, Fakhri Karray, Mark Crowley

* key-words: Roweisposes, Roweis discriminant analysis, Fisherposes, eigenposes, supervised eigenposes, action recognition 

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Quantile-Quantile Embedding for Distribution Transformation, Manifold Embedding, and Image Embedding with Choice of Embedding Distribution


Jun 19, 2020
Benyamin Ghojogh, Fakhri Karray, Mark Crowley

* The proposed QQE method can be used for manifold embedding and image embedding with choice of embedding distribution. Giving freedom to user to choose the embedding distribution of (embedded) data is the contribution of this paper. QQE is based on the quantile-quantile plot (qq-plot) used in the visual statistical tests 

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Active Measure Reinforcement Learning for Observation Cost Minimization


May 26, 2020
Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn

* Under review at NeurIPS 2020 

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Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study


May 10, 2020
Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, H. R. Tizhoosh

* Accepted for presentation at the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20) 

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Reinforcement Learning in a Physics-Inspired Semi-Markov Environment


Apr 15, 2020
Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn

* To appear in the Canadian Conference on Artificial Intelligence, 2020 

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Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces


Apr 05, 2020
Benyamin Ghojogh, Fakhri Karray, Mark Crowley

* Accepted (to appear) in International Conference on Image Analysis and Recognition (ICIAR) 2020, Springer 

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Anomaly Detection and Prototype Selection Using Polyhedron Curvature


Apr 05, 2020
Benyamin Ghojogh, Fakhri Karray, Mark Crowley

* Accepted (to appear) in Canadian Conference on Artificial Intelligence (Canadian AI conference) 2020, Springer. This version includes supplementary material for derivation of an equation 

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Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks


Apr 05, 2020
Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, H. R. Tizhoosh, Fakhri Karray, Mark Crowley

* Accepted (to appear) in International Joint Conference on Neural Networks (IJCNN) 2020, IEEE, in IEEE World Congress on Computational Intelligence (WCCI) 2020 

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Theoretical Insights into the Use of Structural Similarity Index In Generative Models and Inferential Autoencoders


Apr 04, 2020
Benyamin Ghojogh, Fakhri Karray, Mark Crowley

* Accepted (to appear) in International Conference on Image Analysis and Recognition (ICIAR) 2020, Springer 

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