Results 181 to 190 of about 62,816 (280)

Deep-Learning and Dynamic Time Warping-Based Approaches for the Diagnosis of Reactor Systems. [PDF]

Sensors (Basel)
Jeong H, Kim J, Jung D, Kwon J.
europepmc   +1 more source

NePO: Neural Point Octrees for Large‐Scale Novel View Synthesis

Computer Graphics Forum, EarlyView.
We introduce Neural Point Octrees (NePOs), a scalable radiance field representation that organises point clouds hierarchically for efficient optimisation and rendering of large scale scenes. NePOs enable level of detail selection, joint refinement of appearance and camera poses, and real‐time rendering of hundreds of millions of points.
Noah Lewis, Darius Rückert, Marc Stamminger, Linus Franke   +3 more
wiley   +1 more source

Protein Intake and Protein Quality Patterns in New Zealand Vegan Diets: An Observational Analysis Using Dynamic Time Warping. [PDF]

Nutrients
Soh BXP, Vignes M, Smith NW, von Hurst PR, McNabb WC.   +4 more
europepmc   +1 more source

Democratising Multi‐Projector Displays

Computer Graphics Forum, EarlyView.
Spatially augmented reality (SAR) transforms large, surround, collaborative experiences out of VR/AR headsets to the real world by merging content from projectors with the physical environment. This detailed state‐of‐the‐art survey reports on the advancements in multi‐projector aggregation and hardware technologies used to achieve SAR and build ...
Aditi Majumder, Muhammad Twaha Ibrahim
wiley   +1 more source

A Dynamic Time Warping Extension to Consensus Weight-Based Cachexia Criteria Improves Prediction of Cancer Patient Outcomes. [PDF]

JCSM Commun
Forrest N, Tran S, Nandoliya KR, Houskamp EJ, Gruchala T, Guggilla V, Sun Z, Lukas R, Wainwright D, Furmanchuk A, Johnson JL, Roy I, Walunas TL.   +12 more
europepmc   +1 more source

Interactive Groupwise Comparison for Reinforcement Learning from Human Feedback

Computer Graphics Forum, EarlyView.
The standard RLHF uses pairwise comparisons and therefore requires a large number of comparisons leading to a high workload. The comparison pairs are suggested by the system and cannot be chosen by the user. Our RLHF approach provides more agency to the user and demands less work: we leverage the user's visual abilities to effectively explore the ...
Jan Kompatscher, Danqing Shi, Giovanna Varni, Tino Weinkauf, Antti Oulasvirta   +4 more
wiley   +1 more source

Uncovering hidden insights in the chair rise performance of older adults using Dynamic Time Warping and K-means clustering. [PDF]

Sci Rep
Meyer O, Diekmann R, Hellmers S, Hein A, Schumacher A.   +4 more
europepmc   +1 more source

L‐VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts

Computer Graphics Forum, EarlyView.
L‐VISP is a human‐machine solution that uses visual analytics for LSTM modelling in clinical research. L‐VISP uses custom visual encodings to make multiple LSTM variants interpretable, supporting a full range of analysis, from understanding model operations and evaluating performance to interpreting results in a clinical context.
C. Floricel, Y. Wang, A. Wentzel, C. D. Fuller, G. E. Marai, M. E. Papka, G. Canahuate   +6 more
wiley   +1 more source

Identifying time patterns in Huntington's disease trajectories using dynamic time warping-based clustering on multi-modal data. [PDF]

Sci Rep
Giannoula A, De Paepe AE, Sanz F, Furlong LI, Camara E.   +4 more
europepmc   +1 more source

Textile and colour defect detection using deep learning methods

Coloration Technology, EarlyView.
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui, Abdel‐Fattah Seyam, Renzo Shamey   +2 more
wiley   +1 more source