20 papers · ranked by Valyu relevance
Jiadong Liang, Peng Yang, Zhihua Zhang
In this paper, we study the (decentralized) distributed optimization problem with high-dimensional sparse structure. Building upon the FedDA algorithm, we propose a (Decentralized) FedDA-GT algorithm, which combines the gradient tracking technique. It is able to eliminate the heterogeneity among different clients'…
Gang Li, Tianming Liu, Ashley Tarokh, Jingxin Nie + 4 more
'Andrew Mara' 'Scott Holley' 'Stephen TC Wong'] Background Reliable segmentation of cell nuclei from three dimensional (3D) microscopic images is an important task in many biological studies. We present a novel, fully automated method for the segmentation of cell nuclei from 3D microscopic images. It was designed…
Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano
'Giuseppe Notarstefano'] Abstract—This paper proposes ASYNCHRONOUS TRIGGERED GRADIENT TRACKING, i.e., a distributed optimization algorithm to solve consensus optimization over networks with asynchronous communication. As a building block, we devise the continuous-time counterpart of the recently proposed (discretetime)…
Emma Nilsson, Jonas Lukasczyk, Talha Bin Masood, Christoph Garth + 1 more
Gradient-based tracking approaches utilize the ascending (descending) manifolds for establishing the mapping between minima (maxima) of consecutive time steps. So, a minimum mi of the scalar field ft corresponding to time step t is assigned to a minimum mj of ft+1 if the position of mi is contained within Amj . In this…
Haris Masood, Amad Zafar, Muhammad Umair Ali, Tehseen Hussain + 5 more
'Muhammad Attique Khan' 'Usman Tariq' 'Robertas Damaševičius' 'Brij B Gupta' 'Alicia García-Holgado'] Tracking moving objects is one of the most promising yet the most challenging research areas pertaining to computer vision, pattern recognition and image processing. The challenges associated with object tracking range…
Xuan Thang Trinh, Jen-Tzong Jeng, Huu-Thang Nguyen, Van Su Luong + 3 more
'Chih-Cheng Lu' 'Han-Pang Huang' 'Chun-Yeon Lin'] In this work, a two-dimensional (2D) position-detection device using a single axis magnetic sensor combined with orthogonal gradient coils was designed and fabricated. The sensors used were an induction coil and a GMR spin-valve sensor GF807 from Sensitec Inc. The field…
Anatolii V. Kashchuk, Oleksandr Perederiy, Chiara Caldini, Lucia Gardini + 3 more
Accurate localization of single particles plays an increasingly important role in a range of biological techniques, including single molecule tracking and localization-based superresolution microscopy. Such techniques require fast and accurate particle localization algorithms as well as nanometer-scale stability of the…
Ching-Shan Chou, Qing Nie, Tau-Mu Yi, Daniel Lew
Cells localize (polarize) internal components to specific locations in response to external signals such as spatial gradients. For example, yeast cells form a mating projection toward the source of mating pheromone. There are specific challenges associated with cell polarization including amplification of shallow…
Qing Li, Runze Gan, Simon Godsill
on Sensor Network Authors: ['Qing Li' 'Runze Gan' 'Simon Godsill'] Abstract—This paper tackles the challenge of multi-sensor multi-object tracking by proposing various decentralised Variational Inference (VI) schemes that match the tracking performance of centralised sensor fusion with only local message exchanges…
Gerard McCaul, Andreas Mershin, Denys I. Bondar
In this work we consider the question of whether a simple diffusive model can explain the scent tracking behaviors found in nature. For such tracking to occur, both the concentration of a scent and its gradient must be above some threshold. Applying these conditions to the solutions of various diffusion equations, we…
Hugh Z Ford, Giulia L Celora, Elizabeth R Westbrook, Mohit P Dalwadi + 5 more
Gradients of extracellular signals organise cells in tissues. Although there are several models for how gradients can pattern cell behaviour, it is not clear how cells react to gradients when the population is undergoing 3D morphogenesis, in which cell-cell and cell-signal interactions are continually changing.…
Max Kailler Smith, Marcia Grabowekcy, Satoru Suzuki
Peak-alpha frequency varies across individuals and mental states, but it also forms a negative gradient from posterior to anterior regions in association with increases in cortical thickness and connectivity reflecting the cortical hierarchy in temporal integration. Tracking the spatial standard deviation of peak-alpha…
Ying Wang, Qiang Fu, Yangyi Sui, Huafeng Liu + 1 more
A ferromagnetic vehicle, such as a submarine, magnetized by the Earth’s magnetic field produces a magnetic anomaly field, and the tracking of moving targets can be realized through real-time analysis of magnetic data. At present, there are few tracking methods based on magnetic field vectors and their gradient tensor.…
Michael Hutcheon, Andrew Teale
Algorithms are presented for performing a topological analysis of an arbitrary function, evaluated on an arbitrary grid of points. These algorithms work strictly by post-processing the data and require no additional function evaluations. This is achieved by connecting the grid points with a neighbourhood graph…
Dawei Zhang, Tingting Yang
Eye tracking is currently a research hotspot in the territory of service robotics. There is an urgent need for machine vision technique in the territory of video surveillance, and biological visual object following is one of the important basic research problems. By tracking the object of interest and recording the…
Dmitry Ershov, Minh-Son Phan, Joanna W. Pylvänäinen, Stéphane U. Rigaud + 9 more
TrackMate is an automated tracking software used to analyze bioimages and distributed as a Fiji plugin. Here we introduce a new version of TrackMate rewritten to improve performance and usability, and integrating several popular machine and deep learning algorithms to improve versatility. We illustrate how these new…
Authors not listed
Accurate prediction of battery behavior under different dynamic operating conditions is critical for both fundamental research and practical applications. However, the diversity of emerging materials and cell architectures presents significant challenges to the generalizability of conventional prognostic approaches.…
Mojtaba S. Fazli, Shannon Quinn
Gap to Biomedical Advancements Authors: ['Mojtaba S. Fazli' 'Shannon Quinn'] The authors would like to thank Prof. Silvia N.J. Moreno and Prof. Gary E. Ward for their collaboration on Toxoplasma projects. We also acknowledge Prof. Chakra Chennubhotla and Prof. Frederick D Quinn for their collaboration on OrNet project.…
Katharina Löffler, Tim Scherr, Ralf Mikut
Automatic cell segmentation and tracking enables to gain quantitative insights into the processes driving cell migration. To investigate new data with minimal manual effort, cell tracking algorithms should be easy to apply and reduce manual curation time by providing automatic correction of segmentation errors. Current…
Young Hwan Chang, Jeremy Linsley, Josh Lamstein, Jaslin Kalra + 7 more
Live-cell imaging is an important technique to study cell migration and proliferation as well as image-based profiling of drug perturbations over time. To gain biological insights from live-cell imaging data, it is necessary to identify individual cells, follow them over time and extract quantitative information.…