Unsupervised affinity learning based on manifold analysis for image retrieval: A survey

VH Pereira-Ferrero, TG Lewis, LP Valem… - Computer Science …, 2024 - Elsevier
Despite the advances in machine learning techniques, similarity assessment among
multimedia data remains a challenging task of broad interest in computer science …

Assessing the detection of lateral movement through unsupervised learning techniques

C Smiliotopoulos, G Kambourakis, C Kolias… - Computers & …, 2025 - Elsevier
Lateral movement (LM) is an umbrella term for techniques through which attackers spread
from an entry point to the rest of the network. Typically, LM involves both pivoting through …

Rank flow embedding for unsupervised and semi-supervised manifold learning

LP Valem, DCG Pedronette… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Impressive advances in acquisition and sharing technologies have made the growth of
multimedia collections and their applications almost unlimited. However, the opposite is true …

Weakly supervised classification through manifold learning and rank-based contextual measures

JGC Presotto, LP Valem, NG de Sá, DCG Pedronette… - Neurocomputing, 2024 - Elsevier
Over the last decade, significant advances have been achieved by machine learning
approaches, notably in supervised learning scenarios. Supported by the advent of deep …

pyUDLF: A Python Framework for Unsupervised Distance Learning Tasks

G Leticio, LP Valem, LT Lopes… - Proceedings of the 31st …, 2023 - dl.acm.org
The representation of multimedia content experienced tremendous advances in the last
decades. Mainly supported by deep learning models, impressive results have been …

Appearance-consistent video object segmentation based on a multinomial event model

Y Chen, C Hao, AX Liu, E Wu - ACM Transactions on Multimedia …, 2019 - dl.acm.org
In this study, we propose an effective and efficient algorithm for unconstrained video object
segmentation, which is achieved in a Markov random field (MRF). In the MRF graph, each …

Weakly supervised learning through rank-based contextual measures

JGC Presotto, LP Valem, NG de Sá… - 2020 25th …, 2021 - ieeexplore.ieee.org
Machine learning approaches have achieved remarkable advances over the last decades,
especially in supervised learning tasks such as classification. Meanwhile, multimedia data …

A Novel Rank Correlation Measure for Manifold Learning on Image Retrieval and Person Re-ID

LP Valem, VAS Kawai… - … on Image Processing …, 2022 - ieeexplore.ieee.org
Effectively measuring similarity among data samples represented as points in high-
dimensional spaces remains a major challenge in retrieval, machine learning, and computer …

Positioning of the Moving and Static Contacts of the Switch Machine Based on Double‐Layer Mask R‐CNN

J Yin, Z Lv, X Chen, K Yang - Complexity, 2021 - Wiley Online Library
With the continuous development of rail transit, the maintenance of the switch machine
becomes more and more important, and the contact depth of the moving contact and static …

Aprendizado não supervisionado baseado em ranqueamento e aprendizado profundo em domínios diversos

VHP Ferrero - 2024 - repositorio.unesp.br
Em geral, os sistemas de recuperação de imagens realizam comparações considerando
apenas pares de imagens e acabam por não levar em consideração as informações …