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Efficient maintenance of highway cover labelling for distance queries on large dynamic graphs
Graphs in real-world applications are typically dynamic which undergo rapid changes in their topological structure over time by either adding or...
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Fast fully dynamic labelling for distance queries
Finding the shortest-path distance between an arbitrary pair of vertices is a fundamental problem in graph theory. A tremendous amount of research...
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Age Estimation Using Soft Labelling Ordinal Classification Approaches
This work explores the use of diverse soft labelling approaches recently proposed in the literature to address four distinct problems in age...
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WebLabel: OpenLABEL-compliant multi-sensor labelling
Annotated datasets have become crucial for training Machine Learning (ML) models for develo** Autonomous Vehicles (AVs) and their functions....
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BatchHL\(^{+}\): batch dynamic labelling for distance queries on large-scale networks
Many real-world applications operate on dynamic graphs to perform important tasks. In this article, we study batch-dynamic algorithms that are...
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Automatic Sentiment Labelling of Multimodal Data
This study investigates the challenging problem of automatically providing sentiment labels for training and testing multimodal data containing both...
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A VR Tool for Labelling 3D Data Sets
Point clouds are a common representation of 3D scenes, and labelled point clouds are necessary as input to many machine learning systems. Current...
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Multi-granular software annotation using file-level weak labelling
ContextOne of the most time-consuming tasks for developers is the comprehension of new code bases. An effective approach to aid this process is to...
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Energy Flux Prediction Using an Ordinal Soft Labelling Strategy
This paper addresses the problem of short-term energy flux prediction. For this purpose, we propose the use of an ordinal classification neural...
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The Complexity of L(p, q)-Edge-Labelling
The L ( p , q )- Edge-Labelling problem is the edge variant of the well-known L ( p , q )- Labelling problem. It is equivalent to the L ( p , q )- Labelling problem...
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The Complexity of L(p, q)-Edge-Labelling
The L(p, q)-Edge-Labelling problem is the edge variant of the well-known L(p, q)-Labelling problem. It is equivalent to the L(p, q)-Labelling problem...
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On Labelling Pointclouds with the Nearest Facet of Triangulated Building Models
Labelling pointclouds with the nearest facet of triangular meshes is a required step for a number of operations involving pointclouds and meshes,...
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‘Labelling the Gaps’: A Weakly Supervised Automatic Eye Gaze Estimation
Over the past few years, there has been an increasing interest to interpret gaze direction in an unconstrained environment with limited supervision....
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A review and evaluation of elastic distance functions for time series clustering
Time series clustering is the act of grou** time series data without recourse to a label. Algorithms that cluster time series can be classified...
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A semi-supervised medical image classification method based on combined pseudo-labeling and distance metric consistency
In medical image analysis, obtaining high-quality labeled data is expensive, and there is a large amount of unlabeled image data that is not...
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Spatial role labelling in Arabic using probabilistic classifiers
Many applications in natural language processing require information about objects and their topological and geometric properties known as spatial...
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Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance
Multiple-instance learning (MIL) is an attractive approach for digital pathology applications as it reduces the costs related to data collection and...
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Compression techniques for 2-hop labeling for shortest distance queries
Shortest distance computation is one of the widely researched areas in theoretical computer science and graph databases. Distance labeling are...
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Real-time social distance monitoring and face mask detection based Social-Scaled-YOLOv4, DeepSORT and DSFD&MobileNetv2 for COVID-19
COVID-19 has spread rapidly worldwide, despite the availability of vaccines, the fear of the World Health Organization continues due to the mutation...
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Two-level content-based mammogram retrieval using the ACR BI-RADS assessment code and learning-driven distance selection
Content-based mammogram retrieval (CBMR) is an effective approach to assist radiologists in diagnosing patients’ mammograms. Indeed, by studying the...
