Results 111 to 120 of about 965,256 (248)
Learning Sparse Representations in Reinforcement Learning with Sparse Coding
, 2017 A variety of representation learning approaches have been investigated for reinforcement learning; much less attention, however, has been given to investigating the utility of sparse coding.
Martha White, Lei Le, Raksha Kumaraswamy
core +1 more source
Advanced Science, EarlyView.NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider +14 more
wiley +1 more source
Noise filtering method in images in sparse-view covers
Компьютерная оптикаThis article describes a method for image restoration using sparse representations. A sparse representation is a description of an image in the form of fragments of coefficients selected from a predefined dictionary.
Y.V. Goshin, D.V. Arkhipova
doaj +1 more source
Charting Endocrine Progenitors Across Species and Organs
Advanced Science, EarlyView.Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing +21 more
wiley +1 more source
Sparse Coding-Enabled Low-Fluence Multi-Parametric Photoacoustic Microscopy. [PDF]
IEEE Trans Med Imaging, 2022 Wang Z, Zhou Y, Hu S.
europepmc +1 more source
Advanced Science, EarlyView.ABSTRACT The LRRK2 G2019S mutation, a Parkinson's disease–linked variant, has been associated with depression‐like phenotypes, but mechanisms remain unclear. We chart age‐dependent behavioral changes and astrocyte reactivity in G2019S mice and define a pathway connecting LRRK2 to TFEB/GDNF signaling, cellular energetics, and inflammation.
Longping Yao +5 more
wiley +1 more source
Inference via sparse coding in a hierarchical vision model. [PDF]
J Vis, 2022 Bowren J, Sanchez-Giraldo L, Schwartz O.
europepmc +1 more source
Supervised Convolutional Sparse Coding [PDF]
, 2018 Convolutional Sparse Coding (CSC) is a well-established image representation model especially suited for image restoration tasks. In this work, we extend the applicability of this model by proposing a supervised approach to convolutional sparse coding ...
Affara, Lama Ahmed +2 more
core
Advanced Science, EarlyView.The pre‐regenerative vascular niche (PVN) is essential for nerve repair, yet its endothelial blueprint remains unclear. We identified angiogenic ECs (AECs) as the dominant pre‐regenerative subset and found that antler blood–derived exosomes (AB‐EXO) promote repair via IMP3.
Jinsheng Huang +11 more
wiley +1 more source
Remote sensing image super-resolution using multi-scale convolutional sparse coding network. [PDF]
PLoS One, 2022 Cheng R, Wang H, Luo P.
europepmc +1 more source