Results 21 to 30 of about 101,363 (247)

Multi-feature fusion in advanced robotics applications [PDF]

open access: yesProceedings of the 7th International Conference on Frontiers of Information Technology, 2009
This paper describes a feature extraction technique from human face image sequences using model based approach. We study two different models with our proposed approach towards multifeature extraction. These features are efficiently used for human face information extraction for different applications.
Zahid Riaz   +4 more
openaire   +1 more source

Multi-Feature Fusion for Enhancing Image Similarity Learning

open access: yesIEEE Access, 2019
Image similarity learning aims to exploit the correlation between different images by learning image appropriate common features. In recent years, the previous CNN-based methods have directly learned the similarity between image features, which ...
Jian Lu   +4 more
doaj   +1 more source

Robust video tracking algorithm: a multi‐feature fusion approach

open access: yesIET Computer Vision, 2018
This study proposes a novel robust video tracking algorithm consists of target detection, multi‐feature fusion, and extended Camshift. Firstly, a novel target detection method that integrates Canny edge operator, three‐frame difference, and improved ...
Howard Wang   +2 more
doaj   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

open access: yesFEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin   +2 more
wiley   +1 more source

Multi-Source Remote Sensing Images Semantic Segmentation Based on Differential Feature Attention Fusion

open access: yesRemote Sensing
Multi-source remote sensing image semantic segmentation can provide more detailed feature attribute information, making it an important research field for remote sensing intelligent interpretation.
Di Zhang   +5 more
doaj   +1 more source

A Generated Multi Branch Feature Fusion Model for Vehicle Re-identification

open access: yesBrazilian Archives of Biology and Technology, 2021
Vehicle re-id play a very import role in recent public safety, it has received more and more attention. The local features (e.g. hanging decorations and stickers) are widely used for vehicle re-id, but the same local feature exists in one perspective ...
Hu Zhijun   +4 more
doaj   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
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

Electricity theft detection method based on multi‐domain feature fusion

open access: yesIET Science, Measurement & Technology, 2023
To solve the problem of low accuracy of the previous electricity theft detection methods, the authors propose a multi‐domain feature (MDF) fusion electricity theft detection method based on improved tensor fusion (ITF).
Hong‐shan Zhao   +5 more
doaj   +1 more source

Multi-Scale Feature Interactive Fusion Network for RGBT Tracking

open access: yesSensors, 2023
The fusion tracking of RGB and thermal infrared image (RGBT) is paid wide attention to due to their complementary advantages. Currently, most algorithms obtain modality weights through attention mechanisms to integrate multi-modalities information.
Xianbing Xiao   +3 more
doaj   +1 more source

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