b'Fakhri Karray'

Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters

Computational tools for forecasting yields and prices for fresh produce ...
02/17/2021 ∙ by Mohita Chaudhary, et al. ∙ 0 ∙ share

read it
On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS)

Symbiotic Autonomous Systems (SAS) are advanced intelligent and cognitiv...
02/11/2021 ∙ by Yingxu Wang, et al. ∙ 0 ∙ share

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

Stochastic Neighbor Embedding (SNE) is a manifold learning and dimension...
09/22/2020 ∙ by Benyamin Ghojogh, et al. ∙ 0 ∙ share

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

Multidimensional Scaling (MDS) is one of the first fundamental manifold ...
09/17/2020 ∙ by Benyamin Ghojogh, et al. ∙ 0 ∙ share

read it
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)

Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation...
08/09/2020 ∙ by Md. Milon Islam, et al. ∙ 0 ∙ share

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

Variants of Triplet networks are robust entities for learning a discrimi...
07/10/2020 ∙ by Milad Sikaroudi, et al. ∙ 0 ∙ share

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

We analyze the effect of offline and online triplet mining for colorecta...
07/04/2020 ∙ by Milad Sikaroudi, et al. ∙ 0 ∙ share

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

Human action recognition is one of the important fields of computer visi...
06/28/2020 ∙ by Benyamin Ghojogh, et al. ∙ 0 ∙ share

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

We propose a new embedding method, named Quantile-Quantile Embedding (QQ...
06/19/2020 ∙ by Benyamin Ghojogh, et al. ∙ 0 ∙ share

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

After the tremendous development of neural networks trained by backpropa...
04/05/2020 ∙ by Benyamin Ghojogh, et al. ∙ 0 ∙ share

read it
Anomaly Detection and Prototype Selection Using Polyhedron Curvature

We propose a novel approach to anomaly detection called Curvature Anomal...
04/05/2020 ∙ by Benyamin Ghojogh, et al. ∙ 0 ∙ share

read it
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks

Siamese neural network is a very powerful architecture for both feature ...
04/05/2020 ∙ by Benyamin Ghojogh, et al. ∙ 0 ∙ share

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

Generative models and inferential autoencoders mostly make use of ℓ_2 no...
04/04/2020 ∙ by Benyamin Ghojogh, et al. ∙ 0 ∙ share

read it
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces

Fisher Discriminant Analysis (FDA) is a subspace learning method which m...
04/04/2020 ∙ by Benyamin Ghojogh, et al. ∙ 0 ∙ share

read it
Roweis Discriminant Analysis: A Generalized Subspace Learning Method

We present a new method which generalizes subspace learning based on eig...
10/11/2019 ∙ by Benyamin Ghojogh, et al. ∙ 3 ∙ share

read it
Quantized Fisher Discriminant Analysis

This paper proposes a new subspace learning method, named Quantized Fish...
09/06/2019 ∙ by Benyamin Ghojogh, et al. ∙ 0 ∙ share

read it
Locally Linear Image Structural Embedding for Image Structure Manifold Learning

Most of existing manifold learning methods rely on Mean Squared Error (M...
08/25/2019 ∙ by Benyamin Ghojogh, et al. ∙ 0 ∙ share

read it
Principal Component Analysis Using Structural Similarity Index for Images

Despite the advances of deep learning in specific tasks using images, th...
08/25/2019 ∙ by Benyamin Ghojogh, et al. ∙ 19 ∙ share

read it
Fisher and Kernel Fisher Discriminant Analysis: Tutorial

This is a detailed tutorial paper which explains the Fisher discriminant...
06/22/2019 ∙ by Benyamin Ghojogh, et al. ∙ 11 ∙ share

read it
Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review

Pattern analysis often requires a pre-processing stage for extracting or...
05/07/2019 ∙ by Benyamin Ghojogh, et al. ∙ 0 ∙ share

read it
Eigenvalue and Generalized Eigenvalue Problems: Tutorial

This paper is a tutorial for eigenvalue and generalized eigenvalue probl...
03/25/2019 ∙ by Benyamin Ghojogh, et al. ∙ 0 ∙ share

read it
Addressing the Mystery of Population Decline of the Rose-Crested Blue Pipit in a Nature Preserve using Data Visualization

Two main methods for exploring patterns in data are data visualization a...
03/03/2019 ∙ by Benyamin Ghojogh, et al. ∙ 0 ∙ share

read it
Fitting A Mixture Distribution to Data: Tutorial

This paper is a step-by-step tutorial for fitting a mixture distribution...
01/20/2019 ∙ by Benyamin Ghojogh, et al. ∙ 0 ∙ share

read it
Improving Multi-Step Traffic Flow Prediction

In its simplest form, the traffic flow prediction problem is restricted ...
03/04/2018 ∙ by Arief Koesdwiady, et al. ∙ 0 ∙ share

read it
SAFE: Spectral Evolution Analysis Feature Extraction for Non-Stationary Time Series Prediction

This paper presents a practical approach for detecting non-stationarity ...
03/04/2018 ∙ by Arief Koesdwiady, et al. ∙ 0 ∙ share

read it
Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion

In this paper, a novel semi-supervised dictionary learning and sparse re...
04/25/2016 ∙ by Mehrdad J. Gangeh, et al. ∙ 0 ∙ share

read it
Driver distraction detection and recognition using RGB-D sensor

Driver inattention assessment has become a very active field in intellig...
02/01/2015 ∙ by Céline Craye, et al. ∙ 0 ∙ share

read it

Fakhri Karray

Featured Co-authors

Sam Kwong

Mark Crowley

H. R. Tizhoosh

Benyamin Ghojogh

Konstantinos N. Plataniotis

Ali Ghodsi

Mengchu Zhou

Jia Zeng

Mehrdad J. Gangeh

Ming Hou

Milad Sikaroudi

Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters

On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS)

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

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

A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)

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

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

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

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

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

Anomaly Detection and Prototype Selection Using Polyhedron Curvature

Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks

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

Weighted Fisher Discriminant Analysis in the Input and Feature Spaces

Roweis Discriminant Analysis: A Generalized Subspace Learning Method

Quantized Fisher Discriminant Analysis

Locally Linear Image Structural Embedding for Image Structure Manifold Learning

Principal Component Analysis Using Structural Similarity Index for Images

Fisher and Kernel Fisher Discriminant Analysis: Tutorial

Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review

Eigenvalue and Generalized Eigenvalue Problems: Tutorial

Addressing the Mystery of Population Decline of the Rose-Crested Blue Pipit in a Nature Preserve using Data Visualization

Fitting A Mixture Distribution to Data: Tutorial

Improving Multi-Step Traffic Flow Prediction

SAFE: Spectral Evolution Analysis Feature Extraction for Non-Stationary Time Series Prediction

Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion

Driver distraction detection and recognition using RGB-D sensor