![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Benyamin Ghojogh
Person information
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2023
- [b2]Benyamin Ghojogh
, Mark Crowley
, Fakhri Karray
, Ali Ghodsi
:
Elements of Dimensionality Reduction and Manifold Learning. Springer 2023, ISBN 978-3-031-10601-9, pp. 1-596 - [i55]Benyamin Ghojogh, Ali Ghodsi:
Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey. CoRR abs/2304.11461 (2023) - [i54]Benyamin Ghojogh, Morteza Babaie:
On Philomatics and Psychomatics for Combining Philosophy and Psychology with Mathematics. CoRR abs/2308.13738 (2023) - [i53]Benyamin Ghojogh, Milad Amir Toutounchian:
Probabilistic Classification by Density Estimation Using Gaussian Mixture Model and Masked Autoregressive Flow. CoRR abs/2310.10843 (2023) - 2022
- [c22]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. Canadian AI 2022 - [i52]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey. CoRR abs/2201.09267 (2022) - [i51]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
On Manifold Hypothesis: Hypersurface Submanifold Embedding Using Osculating Hyperspheres. CoRR abs/2202.01619 (2022) - [i50]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. CoRR abs/2203.13911 (2022) - [i49]Benyamin Ghojogh:
Affective Manifolds: Modeling Machine's Mind to Like, Dislike, Enjoy, Suffer, Worry, Fear, and Feel Like A Human. CoRR abs/2208.13386 (2022) - [i48]Benyamin Ghojogh, Smriti Sharma:
Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General Relativity. CoRR abs/2211.01369 (2022) - 2021
- [b1]Benyamin Ghojogh:
Data Reduction Algorithms in Machine Learning and Data Science. University of Waterloo, Ontario, Canada, 2021 - [j2]Benyamin Ghojogh
, Ali Ghodsi
, Fakhri Karray
, Mark Crowley
:
Generative locally linear embedding: A module for manifold unfolding and visualization. Softw. Impacts 9: 100105 (2021) - [c21]Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley:
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. ACML 2021: 1-16 - [c20]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Magnification Generalization For Histopathology Image Embedding. ISBI 2021: 1864-1868 - [i47]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey. CoRR abs/2101.00734 (2021) - [i46]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Magnification Generalization for Histopathology Image Embedding. CoRR abs/2101.07757 (2021) - [i45]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Generative Locally Linear Embedding. CoRR abs/2104.01525 (2021) - [i44]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey. CoRR abs/2106.02154 (2021) - [i43]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey. CoRR abs/2106.08443 (2021) - [i42]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey. CoRR abs/2106.15379 (2021) - [i41]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey. CoRR abs/2107.12521 (2021) - [i40]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey. CoRR abs/2108.04172 (2021) - [i39]Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley:
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. CoRR abs/2108.11019 (2021) - [i38]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey. CoRR abs/2109.02508 (2021) - [i37]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey. CoRR abs/2110.01858 (2021) - [i36]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey. CoRR abs/2110.09620 (2021) - [i35]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey. CoRR abs/2111.13282 (2021) - 2020
- [j1]Benyamin Ghojogh, Saber Salehkaleybar
:
Distributed voting in beep model. Signal Process. 177: 107732 (2020) - [c19]Benyamin Ghojogh
, Fakhri Karray
, Mark Crowley
:
Anomaly Detection and Prototype Selection Using Polyhedron Curvature. Canadian AI 2020: 238-250 - [c18]Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister, Fakhri Karray, Mark Crowley:
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. CDC 2020: 2849-2856 - [c17]Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei
, Mark Crowley, Hamid R. Tizhoosh:
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. EMBC 2020: 1400-1403 - [c16]Benyamin Ghojogh
, Milad Sikaroudi
, Hamid R. Tizhoosh
, Fakhri Karray
, Mark Crowley
:
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. ICIAR (2) 2020: 3-15 - [c15]Benyamin Ghojogh
, Fakhri Karray
, Mark Crowley
:
Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces. ICIAR (2) 2020: 16-24 - [c14]Benyamin Ghojogh
, Fakhri Karray
, Mark Crowley
:
Theoretical Insights into the Use of Structural Similarity Index in Generative Models and Inferential Autoencoders. ICIAR (2) 2020: 112-117 - [c13]Benyamin Ghojogh
, Fakhri Karray
, Mark Crowley
:
Generalized Subspace Learning by Roweis Discriminant Analysis. ICIAR (1) 2020: 328-342 - [c12]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. ICPR 2020: 7080-7086 - [c11]Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei
, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. IJCNN 2020: 1-7 - [c10]Milad Sikaroudi
, Benyamin Ghojogh
, Amir Safarpoor
, Fakhri Karray
, Mark Crowley
, Hamid R. Tizhoosh
:
Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches. ISVC (1) 2020: 333-345 - [c9]Haoran Ma, Benyamin Ghojogh, Maria N. Samad, Dongyu Zheng, Mark Crowley:
Isolation Mondrian Forest for Batch and Online Anomaly Detection. SMC 2020: 3051-3058 - [i34]Haoran Ma, Benyamin Ghojogh, Maria N. Samad, Dongyu Zheng, Mark Crowley:
Isolation Mondrian Forest for Batch and Online Anomaly Detection. CoRR abs/2003.03692 (2020) - [i33]Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister, Fakhri Karray, Mark Crowley:
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. CoRR abs/2004.00417 (2020) - [i32]Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. CoRR abs/2004.01857 (2020) - [i31]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Theoretical Insights into the Use of Structural Similarity Index In Generative Models and Inferential Autoencoders. CoRR abs/2004.01864 (2020) - [i30]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Anomaly Detection and Prototype Selection Using Polyhedron Curvature. CoRR abs/2004.02137 (2020) - [i29]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces. CoRR abs/2004.04573 (2020) - [i28]Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei
, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley:
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. CoRR abs/2004.04674 (2020) - [i27]Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei
, Mark Crowley, Hamid R. Tizhoosh:
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. CoRR abs/2005.08629 (2020) - [i26]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Quantile-Quantile Embedding for Distribution Transformation, Manifold Embedding, and Image Embedding with Choice of Embedding Distribution. CoRR abs/2006.11385 (2020) - [i25]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition. CoRR abs/2006.15736 (2020) - [i24]Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches. CoRR abs/2007.02200 (2020) - [i23]Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh:
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. CoRR abs/2007.05610 (2020) - [i22]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey. CoRR abs/2009.08136 (2020) - [i21]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey. CoRR abs/2009.10301 (2020) - [i20]Parisa Abdolrahim Poorheravi, Benyamin Ghojogh, Vincent C. Gaudet, Fakhri Karray, Mark Crowley:
Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling. CoRR abs/2009.14244 (2020) - [i19]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Locally Linear Embedding and its Variants: Tutorial and Survey. CoRR abs/2011.10925 (2020)
2010 – 2019
- 2019
- [c8]Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley:
Artificial Counselor System for Stock Investment. AAAI 2019: 9558-9564 - [c7]Benyamin Ghojogh
, Mark Crowley
:
Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning. Canadian AI 2019: 160-172 - [c6]Benyamin Ghojogh
:
Principal Sample Analysis for Data Ranking. Canadian AI 2019: 579-583 - [c5]Benyamin Ghojogh
, Fakhri Karray
, Mark Crowley
:
Image Structure Subspace Learning Using Structural Similarity Index. ICIAR (1) 2019: 33-44 - [c4]Benyamin Ghojogh
, Fakhri Karray
, Mark Crowley
:
Principal Component Analysis Using Structural Similarity Index for Images. ICIAR (1) 2019: 77-88 - [c3]Benyamin Ghojogh
, Fakhri Karray
, Mark Crowley
:
Locally Linear Image Structural Embedding for Image Structure Manifold Learning. ICIAR (1) 2019: 126-138 - [i18]Benyamin Ghojogh, Aydin Ghojogh, Mark Crowley, Fakhri Karray:
Fitting A Mixture Distribution to Data: Tutorial. CoRR abs/1901.06708 (2019) - [i17]Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley:
Artificial Counselor System for Stock Investment. CoRR abs/1903.00955 (2019) - [i16]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Eigenvalue and Generalized Eigenvalue Problems: Tutorial. CoRR abs/1903.11240 (2019) - [i15]Benyamin Ghojogh, Maria N. Samad, Sayema Asif Mashhadi, Tania Kapoor, Wahab Ali, Fakhri Karray, Mark Crowley:
Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review. CoRR abs/1905.02845 (2019) - [i14]Benyamin Ghojogh, Mark Crowley:
The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial. CoRR abs/1905.12787 (2019) - [i13]Benyamin Ghojogh, Mark Crowley:
Linear and Quadratic Discriminant Analysis: Tutorial. CoRR abs/1906.02590 (2019) - [i12]Benyamin Ghojogh, Mark Crowley:
Unsupervised and Supervised Principal Component Analysis: Tutorial. CoRR abs/1906.03148 (2019) - [i11]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Fisher and Kernel Fisher Discriminant Analysis: Tutorial. CoRR abs/1906.09436 (2019) - [i10]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Principal Component Analysis Using Structural Similarity Index for Images. CoRR abs/1908.09287 (2019) - [i9]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Locally Linear Image Structural Embedding for Image Structure Manifold Learning. CoRR abs/1908.09288 (2019) - [i8]Benyamin Ghojogh, Ali Saheb Pasand, Fakhri Karray, Mark Crowley:
Quantized Fisher Discriminant Analysis. CoRR abs/1909.03037 (2019) - [i7]Benyamin Ghojogh, Fakhri Karray, Mark Crowley:
Roweis Discriminant Analysis: A Generalized Subspace Learning Method. CoRR abs/1910.05437 (2019) - [i6]Benyamin Ghojogh, Saber Salehkaleybar:
Distributed Voting in Beep Model. CoRR abs/1910.09882 (2019) - 2018
- [c2]Sriram Ganapathi Subramanian
, Jaspreet Singh Sambee
, Benyamin Ghojogh
, Mark Crowley
:
Decision Assist for Self-driving Cars. Canadian AI 2018: 381-387 - [c1]Benyamin Ghojogh, Mark Crowley:
Principal Sample Analysis for Data Reduction. ICBK 2018: 350-357 - [i5]Hoda Mohammadzade, Amirhossein Sayyafan, Benyamin Ghojogh:
Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of Patches. CoRR abs/1802.02438 (2018) - [i4]Benyamin Ghojogh, Saeed Sharifian:
Pontogammarus Maeoticus Swarm Optimization: A Metaheuristic Optimization Algorithm. CoRR abs/1807.01844 (2018) - [i3]Benyamin Ghojogh, Saeed Sharifian, Hoda Mohammadzade:
Tree-Based Optimization: A Meta-Algorithm for Metaheuristic Optimization. CoRR abs/1809.09284 (2018) - 2017
- [i2]Mozhgan Mokari, Hoda Mohammadzade, Benyamin Ghojogh:
Recognizing Involuntary Actions from 3D Skeleton Data Using Body States. CoRR abs/1708.06227 (2017) - [i1]Benyamin Ghojogh, Saeed Bagheri Shouraki, Hoda Mohammadzade, Ensieh Iranmehr:
A Fusion-based Gender Recognition Method Using Facial Images. CoRR abs/1711.06451 (2017)
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-25 05:55 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint