Results 21 to 30 of about 8,025,626 (297)
IEEE Access, 2021 Traditionally, multi-label feature extraction algorithm is used to extract local features of blurred images under complex illumination conditions. The computational complexity is extremely high and the extraction efficiency is low.
Jia Wang, Surng-Gahb Jahng
doaj +1 more source
Web Map / Feature Services Cookbook
, 2023 Learn how to use web map and feature services to easily and quickly provide spatial context, without the need to download and process GBs of data!If you use this cookbook, please cite it as ...
Huang, Andrew +1 more
core +1 more source
IEEE Access, 2019 Text classification is one of the most important and typical tasks in Natural Language Processing (NLP) which can be applied for many applications. Recently, deep learning approaches has shown their advantages in solving text classification problem, in ...
Jiaying Wang +5 more
doaj +1 more source
Frontiers in Medicine, 2022 We consider the problem of weakly supervised segmentation on chest radiographs. The chest radiograph is the most common means of screening and diagnosing thoracic diseases.
Hong Gu, Hongyu Wang, Pan Qin, Jia Wang
doaj +1 more source
Guidelines on sustainable mobility : shared transport [PDF]
, 2023 This is the fourth published guideline document, in a series of documents which are being published under the Resident First project headed by the Local Councils’ Association (LCA) and endorsed by all Local Councils in Malta and Gozo.
Zammit, Antoine +1 more
core
Efficient storage and decoding of SURF feature points [PDF]
, 2012 Practical use of SURF feature points in large-scale indexing and retrieval engines requires an efficient means for storing and decoding these features.
McGuinness, Kevin +9 more
core +2 more sources
LOCAL FEATURE EXTRACTION IN IMAGES
Information, Computing and Intelligent systems, 2021 The methods of the local feature point extraction are analyzed. The analysis shows that the most effective detectors are based on the brightness gradient determination. They usually use the Harris angle detector, which is complex in calculations.
Anatoliy Sergiyenko +2 more
openaire +3 more sources
Fingerprint Feature Extraction for Indoor Localization [PDF]
Sensors, 2021 This paper proposes a fingerprint-based indoor localization method, named FPFE (fingerprint feature extraction), to locate a target device (TD) whose location is unknown. Bluetooth low energy (BLE) beacon nodes (BNs) are deployed in the localization area to emit beacon packets periodically.
Jehn-Ruey Jiang +2 more
openaire +4 more sources
Putting local features on a manifold [PDF]
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010 Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for images are mainly based on holistic vectorized representations of images. The challenging question that we address in this paper is how can we learn image manifolds from a punch of ...
Marwan Torki, Ahmed M. Elgammal
openaire +1 more source
A Viterbi tracker for local features [PDF]
SPIE Proceedings, 2010 The long term tracking of sparse local features in an image is important for many applications including camera calibration for stereo applications, camera or global motion estimation and people surveillance. The majority of existing tracking frameworks are based on some kind of prediction/correction idea e.g. KLT and Particle Filters.
Gary Baugh, Anil C. Kokaram
openaire +3 more sources