Results 91 to 100 of about 7,438,644 (406)
Molecular Oncology, EarlyView.We identified adaptor protein ShcD as upregulated in triple‐negative breast cancer and found its expression to be correlated with reduced patient survival and increased invasion in cell models. Using a proteomic screen, we identified novel ShcD binding partners involved in EGFR signaling pathways.
Hayley R. Lau +11 more
wiley +1 more source
Random matrix extended target tracking for trajectory‐aligned and drifting targets
IET Radar, Sonar & NavigationIn this paper, we propose two random matrix based extended target tracking models, which apply to the trajectory‐aligned and drifting target motions. The trajectory‐aligned model is specifically designed to handle targets moving along the direction of ...
Kurtuluş Kerem Şahin +2 more
doaj +1 more source
Entropy, 2020 Target tracking technology that is based on aerial videos is widely used in many fields; however, this technology has challenges, such as image jitter, target blur, high data dimensionality, and large changes in the target scale.
Jinlu Jia +3 more
doaj +1 more source
CiteTracker: Correlating Image and Text for Visual Tracking [PDF]
arXiv, 2023 Existing visual tracking methods typically take an image patch as the reference of the target to perform tracking. However, a single image patch cannot provide a complete and precise concept of the target object as images are limited in their ability to abstract and can be ambiguous, which makes it difficult to track targets with drastic variations. In
arxiv
Target-Aware Deep Tracking [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Existing deep trackers mainly use convolutional neural networks pre-trained for generic object recognition task for representations. Despite demonstrated successes for numerous vision tasks, the contributions of using pre-trained deep features for visual tracking are not as significant as that for object recognition.
Chao Ma +4 more
openaire +3 more sources
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps
, 2017 Hyperspectral cameras can provide unique spectral signatures for consistently distinguishing materials that can be used to solve surveillance tasks. In this paper, we propose a novel real-time hyperspectral likelihood maps-aided tracking method (HLT ...
Hoffman, M. J. +2 more
core +1 more source
Multi-Sensor Multi-Target Tracking Using Domain Knowledge and Clustering
IEEE Sensors Journal, 2018 This paper proposes a novel joint multi-target tracking and track maintenance algorithm over a sensor network. Each sensor runs a local joint probabilistic data association (JPDA) filter using only its own measurements. Unlike the original JPDA approach,
Shaoming He, Hyo-Sang Shin, A. Tsourdos
semanticscholar +1 more source
Inhibitor of DNA binding‐1 is a key regulator of cancer cell vasculogenic mimicry
Molecular Oncology, EarlyView.Elevated expression of transcriptional regulator inhibitor of DNA binding 1 (ID1) promoted cancer cell‐mediated vasculogenic mimicry (VM) through regulation of pro‐angiogenic and pro‐cancerous genes (e.g. VE‐cadherin (CDH5), TIE2, MMP9, DKK1). Higher ID1 expression also increased metastases to the lung and the liver.
Emma J. Thompson +11 more
wiley +1 more source
Complexity, 2018 This paper is concerned with the target tracking problem of an autonomous surface vehicle in the presence of a maneuvering target. The velocity information of target is totally unknown to the follower vehicle, and only the relative distance and angle ...
Shengnan Gao +3 more
doaj +1 more source
Long‐time target tracking algorithm based on re‐detection multi‐feature fusion
IET Cyber-systems and Robotics, 2022 This paper considers the problem of long‐term target tracking in complex scenes when tracking failures are unavoidable due to illumination change, target deformation, scale change, motion blur, and other factors.
Junsuo Qu +4 more
doaj +1 more source