Results 41 to 50 of about 47,616 (177)
, 2010 A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm. A dual mathematical interpretation of the proposed framework
Mallat, Stéphane +2 more
core +3 more sources
Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control
Advanced Functional Materials, EarlyView.A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong +7 more
wiley +1 more source
Knowledge Aided Covariance Matrix Estimation via Gaussian Kernel Function for Airborne SR-STAP
IEEE Access, 2020 In practical airborne radar, the interference signals in training snapshots usually lead to inaccurate estimation of the clutter covariance matrix (CCM) in space-time adaptive processing (STAP), which seriously degrade radar performance and even occur ...
Mingxin Liu +5 more
doaj +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Signal Recovery in Perturbed Fourier Compressed Sensing
, 2018 In many applications in compressed sensing, the measurement matrix is a Fourier matrix, i.e., it measures the Fourier transform of the underlying signal at some specified `base' frequencies $\{u_i\}_{i=1}^M$, where $M$ is the number of measurements ...
Gurumoorthy, Karthik S. +3 more
core +1 more source
Ultrasound Modulation of Visual Circuits in Mice Independent of Auditory Confound
Advanced Science, EarlyView.In this study, Qiu et al. found that low‐intensity ultrasound can directly activate sparse ultrasound‐sensitive neurons (UNs) in the primary visual cortex (V1) of deafened mice. The proportion of these sparse UNs is pressure‐dependent. Furthermore, ultrasound modulates visual circuitry with distinct excitatory and inhibitory effects.
Jiaru He +8 more
wiley +1 more source
A fast patch-dictionary method for whole image recovery [PDF]
, 2014 Various algorithms have been proposed for dictionary learning. Among those for image processing, many use image patches to form dictionaries. This paper focuses on whole-image recovery from corrupted linear measurements.
Xu, Yangyang, Yin, Wotao
core
Minimax Structured Normal Means Inference
, 2016 We provide a unified treatment of a broad class of noisy structure recovery problems, known as structured normal means problems. In this setting, the goal is to identify, from a finite collection of Gaussian distributions with different means, the ...
Krishnamurthy, Akshay
core +1 more source
A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data
Advanced Science, EarlyView.SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang +5 more
wiley +1 more source
Sensors, 2014 Visual sensor networks (VSNs) usually generate a low-resolution (LR) frame-sequence due to energy and processing constraints. These LR-frames are not very appropriate for use in certain surveillance applications.
Muhammad Sajjad +2 more
doaj +1 more source