Trepo - Selaus tekijän mukaan "Gabbouj, Moncef"
Viitteet 41-60 / 125
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Exploiting heterogeneity in operational neural networks by synaptic plasticity
(04.01.2021)
article<p>The recently proposed network model, Operational Neural Networks (ONNs), can generalize the conventional Convolutional Neural Networks (CNNs) that are homogenous only with a linear neuron model. As a heterogenous ... -
Exploring Sound vs Vibration for Robust Fault Detection on Rotating Machinery
(03.07.2024)
articleRobust and real-time detection of faults has become an ultimate objective for predictive maintenance on rotating machinery. Vibration-based Deep Learning (DL) methodologies have become the de facto standard for bearing ... -
An external attention-based feature ranker for large-scale feature selection
(03.12.2023)
articleAn important problem in data science, feature selection (FS) consists of finding the optimal subset of features and eliminating irrelevant or redundant features. The FS task on high-dimensional data is challenging for the ... -
Facial expression based satisfaction index for empathic buildings
UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (10.09.2020)
conference<p>In this work, we examine the suitability of automatic facial expression recognition to be used for satisfaction analysis in an Empathic Building environment. We use machine learning based facial expression recognition ... -
Fast Motion Estimation Algorithm with Efficient Memory Access for HEVC Hardware Encoders
(11 / 2018)
conferenceThe encoding process in the HEVC standard is several times more complex than the previous standards. Since motion estimation is responsible for most of this complexity, the new Test Zone (TZ) search is usually adopted as ... -
Feedforward neural networks initialization based on discriminant learning
(25.02.2021)
articleIn this paper, a novel data-driven method for weight initialization of Multilayer Perceptrons and Convolutional Neural Networks based on discriminant learning is proposed. The approach relaxes some of the limitations of ... -
Generalized Hampel Filters
(01.12.2016)
articleThe standard median filter based on a symmetric moving window has only one tuning parameter: the window width. Despite this limitation, this filter has proven extremely useful and has motivated a number of extensions: ... -
Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval
(06.09.2017)
articleIn this paper, the problem of multi-view embed-ding from different visual cues and modalities is considered. We propose a unified solution for subspace learning methods using the Rayleigh quotient, which is extensible for ... -
Generalized Tensor Summation Compressive Sensing Network (GTSNET): An Easy to Learn Compressive Sensing Operation
(2023)
articleThe efforts in compressive sensing (CS) literature can be divided into two groups: finding a measurement matrix that preserves the compressed information at its maximum level, and finding a robust reconstruction algorithm. ... -
Global ECG Classification by Self-Operational Neural Networks with Feature Injection
(04.07.2022)
articleObjective: Global (inter-patient) ECG classification for arrhythmia detection over Electrocardiogram (ECG) signal is a challenging task for both humans and machines. Automating this process with utmost accuracy is, therefore, ... -
Graph Embedding with Data Uncertainty
(2022)
article<p>Spectral-based subspace learning is a common data preprocessing step in many machine learning pipelines. The main aim is to learn a meaningful low dimensional embedding of the data. However, most subspace learning ... -
Graph-embedded subspace support vector data description
(2022)
articleIn this paper, we propose a novel subspace learning framework for one-class classification. The proposed framework presents the problem in the form of graph embedding. It includes the previously proposed subspace one-class ... -
Hyperspectral Image Analysis with Subspace Learning-based One-Class Classification
Photonics & Electromagnetics Research Symposium (2023)
conferenceHyperspectral image (HSI) classification is an important task in many applications, such as environmental monitoring, medical imaging, and land use/land cover (LULC) classification. Due to the significant amount of spectral ... -
Improved Active Fire Detection Using Operational U-nets
Photonics & Electromagnetics Research Symposium (2023)
conferenceAs a consequence of global warming and climate change, the risk and extent of wildfires have been increasing in many areas worldwide. Warmer temperatures and drier conditions can cause quickly spreading fires and make them ... -
INTEL-TAU: A Color Constancy Dataset
(08.03.2021)
articleIn this paper, we describe a new large dataset for illumination estimation. This dataset, called INTEL-TAU, contains 7022 images in total, which makes it the largest available high-resolution dataset for illumination ... -
JNTD: Towards Just Noticeable frame rate-based Temporal Difference for Perceptual Video Coding
(27.10.2025)
articleJust Noticeable Difference (JND) refers to the maximum level of distortion in an image or video sequence that remains imperceptible to the Human Visual System (HVS). Current JND-based studies predominantly rely on existing ... -
Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-Onns
Proceedings - International Conference on Image Processing (2024)
conferenceNoisy images are a challenge to image compression algorithms due to the inherent difficulty of compressing noise. As noise cannot easily be discerned from image details, such as high-frequency signals, its presence leads ... -
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection
(17.11.2020)
articleEchocardiogram (echo) is the earliest and the primary tool for identifying regional wall motion abnormalities (RWMA) in order to diagnose myocardial infarction (MI) or commonly known as heart attack. This paper proposes a ... -
Lightweight Multitask Learning for Robust JND Prediction using Latent Space and Reconstructed Frames
(2024)
articleThe Just Noticeable Difference (JND) refers to the smallest distortion in an image or video that can be perceived by Human Visual System (HVS), and is widely used in optimizing image/video compression. However, accurate ... -
Limited random walk algorithm for big graph data clustering
(2016)
articleGraph clustering is an important technique to understand the relationships between the vertices in a big graph. In this paper, we propose a novel random-walk-based graph clustering method. The proposed method restricts the ...
