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09/20/2023
GenLayNeRF: Generalizable Layered Representations with 3D Model Alignment for Multi-Human View Synthesis
Novel view synthesis (NVS) of multi-human scenes imposes challenges due ...
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06/07/2023
Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation
Despite major advancements in Automatic Speech Recognition (ASR), the st...
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05/30/2023
Clip21: Error Feedback for Gradient Clipping
Motivated by the increasing popularity and importance of large-scale tra...
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03/03/2023
Multi-Plane Neural Radiance Fields for Novel View Synthesis
Novel view synthesis is a long-standing problem that revolves around ren...
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02/20/2023
Harris Hawks Feature Selection in Distributed Machine Learning for Secure IoT Environments
The development of the Internet of Things (IoT) has dramatically expande...
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10/03/2022
Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse
The advances in Artificial Intelligence (AI) have led to technological a...
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04/12/2022
Internet of Things Device Capabilities, Architectures, Protocols, and Smart Applications in Healthcare Domain: A Review
Nowadays, the Internet has spread to practically every country around th...
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02/02/2022
Human Activity Recognition Using Tools of Convolutional Neural Networks: A State of the Art Review, Data Sets, Challenges and Future Prospects
Human Activity Recognition (HAR) plays a significant role in the everyda...
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06/24/2021
Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects
The significant increase in the number of individuals with chronic ailme...
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05/18/2021
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection
The COVID-19 (Coronavirus disease 2019) has infected more than 151 milli...
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02/17/2021
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 ...
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02/11/2021
On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS)
Symbiotic Autonomous Systems (SAS) are advanced intelligent and cognitiv...
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09/22/2020
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey
Stochastic Neighbor Embedding (SNE) is a manifold learning and dimension...
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09/17/2020
Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey
Multidimensional Scaling (MDS) is one of the first fundamental manifold ...
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08/09/2020
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation...
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07/10/2020
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem
Variants of Triplet networks are robust entities for learning a discrimi...
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07/04/2020
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches
We analyze the effect of offline and online triplet mining for colorecta...
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06/28/2020
Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition
Human action recognition is one of the important fields of computer visi...
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06/19/2020
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...
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04/05/2020
Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces
After the tremendous development of neural networks trained by backpropa...
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04/05/2020
Anomaly Detection and Prototype Selection Using Polyhedron Curvature
We propose a novel approach to anomaly detection called Curvature Anomal...
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04/05/2020
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks
Siamese neural network is a very powerful architecture for both feature ...
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04/04/2020
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...
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04/04/2020
Weighted Fisher Discriminant Analysis in the Input and Feature Spaces
Fisher Discriminant Analysis (FDA) is a subspace learning method which m...
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10/11/2019
Roweis Discriminant Analysis: A Generalized Subspace Learning Method
We present a new method which generalizes subspace learning based on eig...
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09/06/2019
Quantized Fisher Discriminant Analysis
This paper proposes a new subspace learning method, named Quantized Fish...
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08/25/2019
Locally Linear Image Structural Embedding for Image Structure Manifold Learning
Most of existing manifold learning methods rely on Mean Squared Error (M...
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08/25/2019
Principal Component Analysis Using Structural Similarity Index for Images
Despite the advances of deep learning in specific tasks using images, th...
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06/22/2019
Fisher and Kernel Fisher Discriminant Analysis: Tutorial
This is a detailed tutorial paper which explains the Fisher discriminant...
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05/07/2019
Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review
Pattern analysis often requires a pre-processing stage for extracting or...
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03/25/2019
Eigenvalue and Generalized Eigenvalue Problems: Tutorial
This paper is a tutorial for eigenvalue and generalized eigenvalue probl...
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03/03/2019
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...
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01/20/2019
Fitting A Mixture Distribution to Data: Tutorial
This paper is a step-by-step tutorial for fitting a mixture distribution...
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03/04/2018
Improving Multi-Step Traffic Flow Prediction
In its simplest form, the traffic flow prediction problem is restricted ...
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03/04/2018
SAFE: Spectral Evolution Analysis Feature Extraction for Non-Stationary Time Series Prediction
This paper presents a practical approach for detecting non-stationarity ...
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04/25/2016
Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion
In this paper, a novel semi-supervised dictionary learning and sparse re...
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02/01/2015
