Results 31 to 40 of about 128,152 (239)

Integral Images for Block Matching [PDF]

open access: yesImage Processing On Line, 2014
The integral image representation is a remarkable idea that permits to evaluate the sum of image values over rectangular regions of the image with four operations, regardless of the size of the region. It was first proposed under the name of summed area table in the computer graphics community by Crow’84, in order to efficiently filter texture maps ...
Gabriele Facciolo   +2 more
openaire   +1 more source

Crosstalk between the ribosome quality control‐associated E3 ubiquitin ligases LTN1 and RNF10

open access: yesFEBS Letters, EarlyView.
Loss of the E3 ligase LTN1, the ubiquitin‐like modifier UFM1, or the deubiquitinating enzyme UFSP2 disrupts endoplasmic reticulum–ribosome quality control (ER‐RQC), a pathway that removes stalled ribosomes and faulty proteins. This disruption may trigger a compensatory response to ER‐RQC defects, including increased expression of the E3 ligase RNF10 ...
Yuxi Huang   +8 more
wiley   +1 more source

A Vision-Based Procedure with Subpixel Resolution for Motion Estimation

open access: yesSensors
Vision-based motion estimation for structural systems has attracted significant interest in recent years. As the design of robust algorithms to accurately estimate motion still represents a challenge, a multi-step framework is proposed to deal with both ...
Samira Azizi   +2 more
doaj   +1 more source

On Recovery of Block Sparse Signals via Block Compressive Sampling Matching Pursuit

open access: yesIEEE Access, 2019
Compressive sampling matching pursuit (CoSaMP) is an efficient reconstruction algorithm for sparse signal. When the signal is block sparse, i.e., the non-zero elements are presented in clusters, some block sparse reconstruction algorithms have been ...
Xiaobo Zhang   +4 more
doaj   +1 more source

Human Motion Target Recognition Using Convolutional Neural Network and Global Constraint Block Matching

open access: yesIEEE Access, 2020
The traditional human behavior recognition algorithm is easy to ignore the spatial constraint problem of feature blocks, which leads to poor recognition effect and low correct rate. Therefore, we proposed a human motion target recognition algorithm based
Wei Liu, Shangbin Li
doaj   +1 more source

Function‐driven design of a surrogate interleukin‐2 receptor ligand

open access: yesFEBS Letters, EarlyView.
Interleukin (IL)‐2 signaling can be achieved and precisely fine‐tuned through the affinity, distance, and orientation of the heterodimeric receptors with their ligands. We designed a biased IL‐2 surrogate ligand that selectively promotes effector T and natural killer cell activation and differentiation. Interleukin (IL) receptors play a pivotal role in
Ziwei Tang   +9 more
wiley   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

open access: yesFEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo   +2 more
wiley   +1 more source

Elbow matching accuracy in young and elderly humans under unusual mechanical constraints

open access: yesFrontiers in Neuroscience, 2016
Experiment was carried out to study the proprioception accuracy of elderly (61-83 years old) and young (22-36 years old) subjects during contralateral elbow matching in sagittal plane.
Vera Talis, Yuri Levik
doaj   +1 more source

Multiple ETS family transcription factors bind mutant p53 via distinct interaction regions

open access: yesFEBS Letters, EarlyView.
Mutant p53 gain‐of‐function is thought to be mediated by interaction with other transcription factors. We identify multiple ETS transcription factors that can bind mutant p53 and found that this interaction can be promoted by a PXXPP motif. ETS proteins that strongly bound mutant p53 were upregulated in ovarian cancer compared to ETS proteins that ...
Stephanie A. Metcalf   +6 more
wiley   +1 more source

Large Aerial Image Tie Point Matching in Real and Difficult Survey Areas via Deep Learning Method

open access: yesRemote Sensing, 2022
Image tie point matching is an essential task in real aerial photogrammetry, especially for model tie points. In current photogrammetry production, SIFT is still the main matching algorithm because of the high robustness for most aerial image tie points ...
Xiuliu Yuan   +3 more
doaj   +1 more source

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