no code implementations • 9 Aug 2023 • Li-Wei Li, Jun Sun, Chao Li, Wei Fang, Vasile Palade, Xiao-Jun Wu
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.
no code implementations • 17 Apr 2022 • Xuejiao Tang, Tai Le Quy, Eirini Ntoutsi, Kea Turner, Vasile Palade, Israat Haque, Peng Xu, Chris Brown, Wenbin Zhang
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.
no code implementations • 29 Dec 2021 • Xu Song, Xiao-Jun Wu, Hui Li, Jun Sun, Vasile Palade
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.
no code implementations • 22 Nov 2020 • Luke Hicks, Ariel Ruiz-Garcia, Vasile Palade, Ibrahim Almakky
This paper proposes a methodology based on Transformer Neural Networks to classify the activities of a resident within an ambient sensor based environment.
no code implementations • 22 Nov 2020 • Ariel Ruiz-Garcia, Ibrahim Almakky, Vasile Palade, Luke Hicks
Generative Adversarial Networks (GANs) have become predominant in image generation tasks.
no code implementations • 5 Oct 2020 • Uche Onyekpe, Vasile Palade, Stratis Kanarachos
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.
no code implementations • 19 Jul 2020 • Ariel Ruiz-Garcia, Vasile Palade, Mark Elshaw, Mariette Awad
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.
no code implementations • 19 Jul 2020 • Arit Kumar Bishwas, Ashish Mani, Vasile Palade
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).
no code implementations • 4 May 2020 • Uche Onyekpe, Vasile Palade, Stratis Kanarachos, Alicja Szkolnik
Several deep learning techniques have been investigated to mitigate the errors for a better navigation solution [1-10].
no code implementations • 21 Sep 2019 • Arit Kumar Bishwas, Ashish Mani, Vasile Palade
We have investigated the run time computational complexity of the proposed quantum deep clustering framework and compared with the possible classical implementation.
no code implementations • 24 Jul 2018 • Yahaya Isah Shehu, Ariel Ruiz-Garcia, Vasile Palade, Anne James
This paper presents the Sokoto Coventry Fingerprint Dataset (SOCOFing), a biometric fingerprint database designed for academic research purposes.
no code implementations • 9 Jul 2018 • Abdulaziz M. Alayba, Vasile Palade, Matthew England, Rahat Iqbal
Deep neural networks have shown good data modelling capabilities when dealing with challenging and large datasets from a wide range of application areas.
no code implementations • 29 Apr 2018 • Arit Kumar Bishwas, Ashish Mani, Vasile Palade
In this paper, we have investigated the performance of support vector clustering algorithm implemented in a quantum paradigm for possible run-time improvements.
no code implementations • 28 Feb 2018 • Abdulaziz M. Alayba, Vasile Palade, Matthew England, Rahat Iqbal
The complexities of Arabic language in morphology, orthography and dialects makes sentiment analysis for Arabic more challenging.
no code implementations • 4 Nov 2017 • Arit Kumar Bishwas, Ashish Mani, Vasile Palade
The Gaussian kernel is a very popular kernel function used in many machine learning algorithms, especially in support vector machines (SVMs).
no code implementations • 3 Aug 2017 • Andreas Holzinger, Markus Plass, Katharina Holzinger, Gloria Cerasela Crisan, Camelia-M. Pintea, Vasile Palade
The goal of Machine Learning to automatically learn from data, extract knowledge and to make decisions without any human intervention.
no code implementations • 25 Apr 2017 • Arit Kumar Bishwas, Ashish Mani, Vasile Palade
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.
no code implementations • 10 Feb 2017 • Abdulaziz M. Alayba, Vasile Palade, Matthew England, Rahat Iqbal
While there has been a lot of research on sentiment analysis in English, the amount of researches and datasets in Arabic language is limited.
no code implementations • 19 Aug 2015 • J. Gerard Wolff, Vasile Palade
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".
no code implementations • 12 Jun 2013 • Jun Sun, Xiao-Jun Wu, Vasile Palade, Wei Fang, Yuhui Shi
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.