Results 31 to 40 of about 1,446,341 (290)

Text feature extraction based on deep learning: a review

EURASIP Journal on Wireless Communications and Networking, 2017
Selection of text feature item is a basic and important matter for text mining and information retrieval. Traditional methods of feature extraction require handcrafted features. To hand-design, an effective feature is a lengthy process, but aiming at new
Hong Liang, Xiao Sun, Yunlei Sun, Yuan Gao   +3 more
doaj   +1 more source

Feature Extraction and Classification of Automatically Segmented Lung Lesion Using Improved Toboggan Algorithm [PDF]

, 2017
The accurate detection of lung lesions from computed tomography (CT) scans is essential for clinical diagnosis. It provides valuable information for treatment of lung cancer.
Bavya, K. (K), Julian, M. P. (Mr)
core   +1 more source

UAT: Universal Attention Transformer for Video Captioning

Sensors, 2022
Video captioning via encoder–decoder structures is a successful sentence generation method. In addition, using various feature extraction networks for extracting multiple features to obtain multiple kinds of visual features in the encoding process is a ...
Heeju Im, Yong-Suk Choi
doaj   +1 more source

Developing a comprehensive framework for multimodal feature extraction

, 2017
Feature extraction is a critical component of many applied data science workflows. In recent years, rapid advances in artificial intelligence and machine learning have led to an explosion of feature extraction tools and services that allow data ...
de la Vega, Alejandro, McNamara, Quinten, Yarkoni, Tal   +2 more
core   +1 more source

Triple-Type Feature Extraction for Palmprint Recognition

Sensors, 2021
Palmprint recognition has received tremendous research interests due to its outstanding user-friendliness such as non-invasive and good hygiene properties.
Lian Wu, Yong Xu, Zhongwei Cui, Yu Zuo, Shuping Zhao, Lunke Fei   +5 more
doaj   +1 more source

A color extraction algorithm by segmentation

Scientific Reports, 2023
The segmentation and extraction on color features can provide useful information for many different application domains. However, most of the existing image processing algorithms on feature extraction are gray image-based and consider only one ...
QingE Wu, Zhenggaoyuan Fang, Zhichao Song, Hu Chen, Yingbo Lu, Lintao Zhou, Xiaoliang Qian   +6 more
doaj   +1 more source

LV-FeatEx: Large Viewpoint-Image Feature Extraction

Mathematics
Maintaining stable image feature extraction under viewpoint changes is challenging, particularly when the angle between the camera’s reverse direction and the object’s surface normal exceeds 40 degrees.
Yukai Wang, Yinghui Wang, Wenzhuo Li, Yanxing Liang, Liangyi Huang, Xiaojuan Ning   +5 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Improved SURF−FLANN feature extraction and matching algorithm for video stitching of fully-mechanized working face

Meitan xuebao
The SURF (Speed Up Robust Features) feature extraction algorithm and FLANN (Fast Library or Approximate Nearest Neighbors) feature matching algorithm in current video stitching technology have the problems of feature point extraction errors and low ...
Qinghua MAO, Menghan WANG, Xin HU, Jiao ZHAI   +3 more
doaj   +1 more source

Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction

, 2017
Feature extraction is a very crucial task in image and pixel (voxel) classification and regression in biomedical image modeling. In this work we present a machine learning based feature extraction scheme based on inception models for pixel classification
Menze, Bjoern H., Rempfler, Markus, Tetteh, Giles, Zimmer, Claus   +3 more
core   +1 more source