Browsing Electronic Engineering and Computer Science by Title
Now showing items 1661-1680 of 3387
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Latent force models for sound: Learning modal synthesis parameters and excitation functions from audio recordings
(2017-10-05)Latent force models are a Bayesian learning technique that combine physical knowledge with dimensionality reduction - sets of coupled differential equations are modelled via shared dependence on a low-dimensional latent ... -
Lateralization of Impedance Control in Dynamic Versus Static Bimanual Tasks.
(2022-07)In activities of daily living that require bimanual coordination, humans often assign a role to each hand. How do task requirements affect this role assignment? To address this question, we investigated how healthy ... -
Lawnmowers versus terrorists: A highly misleading view of risk
(Royal Statistical Society, 2018-02-06) -
Layered THz waveguides for SPPs, filter and sensor applications
(Springer, 2019-12-01)© 2019, The Author(s). Theory of five kinds of layered structure THz waveguides is presented. In these waveguides, the modified and hybrid THz surface plasmon-polaritons (SPPs) are researched in detail. On these modes, the ... -
The LCT semantics magic show: improving classroom practice using LCT
(2024)How can LCT be used in a simple but practical way to improve your pedagogy? This tutorial explores the practical use of LCT Semantics to quickly and simply evaluate and improve lesson plans. LCT is a very conceptually ... -
LEARNABLE MASKS FOR POSE-GUIDED VIEW SYNTHESIS
(IEEE, 2019-08)Pose-guided human view synthesis uses a target pose to generate the appearance of a new view of a person. The input view and the target pose can be processed separately with UNet architectures that combine the results in ... -
Learning a feature space for similarity in world music
(ISMIR, 2016-08-07)In this study we investigate computational methods for assessing music similarity in world music styles. We use state-of-the-art audio features to describe musical content in world music recordings. Our music collection ... -
Learning and Evaluation Methodologies for Polyphonic Music Sequence Prediction with LSTMs
(Institute of Electrical and Electronics Engineers, 2020)Music language models (MLMs) play an important role for various music signal and symbolic music processing tasks, such as music generation, symbolic music classification, or automatic music transcription (AMT). In this ... -
Learning Based Signal Detection for MIMO Systems with Unknown Noise Statistics
(IEEE, 2021-01-01)This paper aims to devise a generalized maximum likelihood (ML) estimator to robustly detect signals with unknown noise statistics in multiple-input multiple-output (MIMO) systems. In practice, there is little or even no ...