Results 81 to 90 of about 3,038,089 (290)
Short-Term Electric Load Forecasting With Sparse Coding Methods
IEEE Access, 2021 Short-term load forecasting is a key task for planning and stability of the current and future distribution grid, as it can significantly contribute to the management of energy market for ancillary services.
Nikolaos Giamarelos +5 more
doaj +1 more source
Parametric dictionary design for sparse coding [PDF]
, 2009 —This paper introduces a new dictionary design method for sparse coding of a class of signals. It has been shown that one can sparsely approximate some natural signals using an overcomplete set of parametric functions, e.g. [1], [2].
Daudet, L., Davies, M.E., Yaghoobi, M.
core +2 more sources
Transformational Sparse Coding
, 2017 A fundamental problem faced by object recognition systems is that objects and their features can appear in different locations, scales and orientations. Current deep learning methods attempt to achieve invariance to local translations via pooling, discarding the locations of features in the process.
Gklezakos, Dimitrios C. +1 more
openaire +2 more sources
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
Advanced Functional Materials, EarlyView.DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
Collaborative Representation based Classification for Face Recognition [PDF]
, 2014 By coding a query sample as a sparse linear combination of all training samples and then classifying it by evaluating which class leads to the minimal coding residual, sparse representation based classification (SRC) leads to interesting results for ...
Feng, Xiangchu +4 more
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Advanced Functional Materials, EarlyView.Lead halide perovskite nanocrystals are promising scintillators but suffer from reabsorption losses and limited compatibility with high‐Z additives. Hybridization of CsPbBr3 nanocrystals with PbBr2‐passivated HfO2 nanoparticle sensitizers, achieved during or after synthesis, produces stable composites with maintained optical quality, improved ...
Francesco Bruni +17 more
wiley +1 more source
IEEE Access, 2020 Tensor representation is the most natural and effective way to preserve the structural information of hyperspectral image (HSI), and thus is very beneficial to HSI processing.
Lixia Yang +3 more
doaj +1 more source
Interconnected Porous Hydrogels with Tunable Anisotropy Through Aqueous Emulsion Bioprinting
Advanced Functional Materials, EarlyView.A 3D bioprintable microporous bioink is developed using an aqueous two‐phase system (ATPS) composed of extracellular matrix (ECM) mimetic biopolymers. The ATPS bioink enables the fabrication of interconnected porous architectures with up to 70% porosity, supporting long‐term cell viability and 3D cell alignment, enabling a simultaneous generation of ...
Hugo Edgar‐Vilar +4 more
wiley +1 more source
Traffic Scene Analysis using Hierarchical Sparse Topical Coding [PDF]
AUT Journal of Electrical Engineering, 2018 Analyzing motion patterns in traffic videos can be exploited directly to generate high-level descriptions of the video contents. Such descriptions may further be employed in different traffic applications such as traffic phase detection and abnormal ...
P. Ahmadi, I. Gholampour, M. Tabandeh
doaj +1 more source
Multimodal Sparse Coding for Event Detection [PDF]
, 2016 Unsupervised feature learning methods have proven effective for classification tasks based on a single modality. We present multimodal sparse coding for learning feature representations shared across multiple modalities.
Brady, Kevin +5 more
core