Results 131 to 140 of about 114,572 (313)
Bayesian modelling of music: algorithmic advances and experimental studies of shift-invariant sparse coding [PDF]
, 2005 In order to perform many signal processing tasks such as classification,pattern recognition and coding, it is helpful to specify a signal model interms of meaningful signal structures. In general, designing such a modelis complicated and for many signals
Blumensath, Thomas
core
Wavelet Based Dictionaries for Dimensionality Reduction of ECG Signals [PDF]
, 2019 Dimensionality reduction of ECG signals is considered within the framework of sparse representation. The approach constructs the signal model by selecting elementary components from a redundant dictionary via a greedy strategy.
Rebollo-Neira, Laura, Cerna, Dana
core +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Person Re-Identification by Weighted Integration of Sparse and Collaborative Representation
IEEE Access, 2017 Recognizing the certain person of interest in cameras of different viewpoints is known as the task of person re-identification. It has been a challenging job considering the variation in human pose, the changing illumination conditions and the lack of ...
Jie Guo +3 more
doaj +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Advanced Engineering Materials, EarlyView.Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Remote Sensing, 2015 Normally, polarimetric SAR classification is a high-dimensional nonlinear mapping problem. In the realm of pattern recognition, sparse representation is a very efficacious and powerful approach.
Fan Yang, Wei Gao, Bin Xu, Jian Yang
doaj +1 more source
Sparse model construction using coordinate descent optimization [PDF]
, 2013 We propose a new sparse model construction method aimed at maximizing a model’s generalisation capability for a large class of linear-in-the-parameters models.
Xia Hong +8 more
core +1 more source
Advanced Engineering Materials, EarlyView.The temperature dependence of fatigue behavior in nickel‐based superalloys is investigated through high‐resolution measurements of plastic localization. While increasing temperature reduces localization and enhances fatigue performance in René 88DT, Inconel 718 exhibits a sharp degradation at intermediate temperature due to intensified slip ...
M. Calvat +5 more
wiley +1 more source
SparseLoc: Indoor Localization Using Sparse Representation
IEEE Access, 2017 With the popularity of smart mobile devices, “context-aware”applications have attracted intense interest, for which location is one of the most essential contexts.
Kongyang Chen +5 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source