RSS 1.0School of Electronic Engineering and Computer Science Research Reports: 2008 -
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Faster Person Re-Identification: One-shot-Filter and Coarse-to-Fine Search.
(2023-12-12)Fast person re-identification (ReID) aims to search person images quickly and accurately. The main idea of recent fast ReID methods is the hashing algorithm, which learns compact binary codes and performs fast Hamming ... -
HIPI: A Hierarchical Performer Identification Model Based on Symbolic Representation of Music
(2023-01-01)Automatic Performer Identification from the symbolic representation of music has been a challenging topic in Music Information Retrieval (MIR).In this study, we apply a Recurrent Neural Network (RNN) model to classify the ... -
Interactive Generation of Musical Corpora for Piano Education: Opportunities and Open Challenges
(2023-01-01)Learning to play a musical instrument such as a piano requires many hours of exercises, generally taken from a “method” book. These books are collections of progressive exercises intended to teach specific techniques and ... -
Reconfigurable Intelligent Surface-Aided Near-Field Communications for 6G: Opportunities and Challenges
(2024-01-01)Reconfigurable intelligent surface (RIS)-aided near-field communications are investigated. First, the necessity of investigating RIS-aided near-field communications and the advantages brought about by the unique spherical ... -
Scoring Coreference Chains with Split-Antecedent Anaphors
(2023-01-01)Anaphoric reference is an aspect of language interpretation covering a variety of types of interpretation beyond the simple case of identity reference to entities introduced via nominal expressions covered by the traditional ... -
Modern computing: Vision and challenges
(Elsevier, 2024-01) -
Learning from taxonomy: multi-label few-shot classification for everyday sound recognition
(IEEE, 2024-04-14)Humans categorise and structure perceived acoustic signals into hierarchies of auditory objects. The semantics of these objects are thus informative in sound classification, especially in few-shot scenarios. However, ... -
Wideband DOA Estimation with Frequency Decomposition via a Unified GS-WSpSF Framework
(Institute of Electrical and Electronics Engineers, 2024-01-09)A unified group sparsity based framework for wideband sparse spectrum fitting (GS-WSpSF) is proposed for wideband direction-of-arrival (DOA) estimation, which is capable of handling both uncorrelated and correlated sources. ... -
A review of differentiable digital signal processing for music and speech synthesis
(Frontiers Media, 2024-01-11)The term “differentiable digital signal processing” describes a family of techniques in which loss function gradients are backpropagated through digital signal processors, facilitating their integration into neural networks. ... -
Magpick
(bela, 2019-07-04)The Magpick is an augmented plectrum capable of eliciting new sounds using magnetic pickups normally installed in electric guitars. Magpick uses electromagnetic induction to sense the motion of the guitar pick. This motion ... -
Using a Bayesian approach to reconstruct graph statistics after edge sampling
(2023-12-01)Often, due to prohibitively large size or to limits to data collecting APIs, it is not possible to work with a complete network dataset and sampling is required. A type of sampling which is consistent with Twitter API ... -
Blockchain and Reinforcement Neural Network for Trusted Cloud-Enabled IoT Network
(2023-01-01)The rapid integration of Internet of Things (IoT) services and applications across various sectors is primarily driven by their ability to process real-time data and create intelligent environments through artificial ... -
ATOM: AI-Powered Sustainable Resource Management for Serverless Edge Computing Environments
(2023-01-01)Serverless edge computing decreases unnecessary resource usage on end devices with limited processing power and storage capacity. Despite its benefits, serverless edge computing's zero scalability is the major source ... -
Next generation edge computing: A roadmap to net zero emissions
(Elsevier, 2023-11) -
An Integrated Sensing and Communication System for Fall Detection and Recognition Using Ultrawideband Signals
(2024-01-01)Fall detection and recognition play a crucial role in enabling timely medical interventions for people who are at risk of falls, especially among vulnerable populations like older adults and those with mobility limitations. ...
