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Found 20 papers, 0 papers with code
Analyzing and controlling diversity in quantum-behaved particle swarm optimization
Then, the correlations between the two types of diversities and the search performance are tested and analyzed on several benchmark functions, and the distance-to-average-point diversity is showed to have stronger association with the search performance during the evolving processes.
Attention Mechanism based Cognition-level Scene Understanding
Given a question-image input, the Visual Commonsense Reasoning (VCR) model can predict an answer with the corresponding rationale, which requires inference ability from the real world.
Res2NetFuse: A Fusion Method for Infrared and Visible Images
The Res2Net-based encoder is used to extract multi-scale features of source images, the paper introducing a new training strategy for training a Res2Net-based encoder that uses only a single image.
Self-Supervised Transformers for Activity Classification using Ambient Sensors
This paper proposes a methodology based on Transformer Neural Networks to classify the activities of a resident within an ambient sensor based environment.
Generative Adversarial Stacked Autoencoders
Generative Adversarial Networks (GANs) have become predominant in image generation tasks.
Learning to Localise Automated Vehicles in Challenging Environments using Inertial Navigation Systems (INS)
An algorithm based on Artificial Neural Networks is proposed in this paper to improve the accuracy of Inertial Navigation System (INS)/ Global Navigation Satellite System (GNSS) integrated navigation during the absence of GNSS signals.
Parts of Speech Tagging in NLP: Runtime Optimization with Quantum Formulation and ZX Calculus
This paper proposes an optimized formulation of the parts of speech tagging in Natural Language Processing with a quantum computing approach and further demonstrates the quantum gate-level runnable optimization with ZX-calculus, keeping the implementation target in the context of Noisy Intermediate Scale Quantum Systems (NISQ).
Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition
In this work, we propose a novel Generative Adversarial Stacked Autoencoder that learns to map facial expressions, with up to plus or minus 60 degrees, to an illumination invariant facial representation of 0 degrees.
IO-VNBD: Inertial and Odometry Benchmark Dataset for Ground Vehicle Positioning
Several deep learning techniques have been investigated to mitigate the errors for a better navigation solution [1-10].
An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor
We have investigated the run time computational complexity of the proposed quantum deep clustering framework and compared with the possible classical implementation.
Sokoto Coventry Fingerprint Dataset
This paper presents the Sokoto Coventry Fingerprint Dataset (SOCOFing), a biometric fingerprint database designed for academic research purposes.
A Combined CNN and LSTM Model for Arabic Sentiment Analysis
Deep neural networks have shown good data modelling capabilities when dealing with challenging and large datasets from a wide range of application areas.
An Investigation on Support Vector Clustering for Big Data in Quantum Paradigm
In this paper, we have investigated the performance of support vector clustering algorithm implemented in a quantum paradigm for possible run-time improvements.
Improving Sentiment Analysis in Arabic Using Word Representation
The complexities of Arabic language in morphology, orthography and dialects makes sentiment analysis for Arabic more challenging.
Gaussian Kernel in Quantum Learning
The Gaussian kernel is a very popular kernel function used in many machine learning algorithms, especially in support vector machines (SVMs).
A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop
The goal of Machine Learning to automatically learn from data, extract knowledge and to make decisions without any human intervention.
An All-Pair Quantum SVM Approach for Big Data Multiclass Classification
We have shown that the multiclass support vector machine for big data classification with a quantum all-pair approach can be implemented in logarithm runtime complexity on a quantum computer.
Arabic Language Sentiment Analysis on Health Services
While there has been a lot of research on sentiment analysis in English, the amount of researches and datasets in Arabic language is limited.
Proposal for the creation of a research facility for the development of the SP machine
This is a proposal to create a research facility for the development of a high-parallel version of the "SP machine", based on the "SP theory of intelligence".
Random Drift Particle Swarm Optimization
The free electron model considers that electrons have both a thermal and a drift motion in a conductor that is placed in an external electric field.
