Results 31 to 40 of about 8,025,626 (297)
Task-Oriented Local Feature Rectification Network for Few-Shot Image Classification
Few-shot image classification aims to classify unlabeled samples when only a small number of labeled samples are available for each class. Recently, local feature-based few-shot learning methods have made significant progress.
Ping Li, Xiang Zhu
doaj +1 more source
EBTNet: Efficient Bilateral Token Mixer Network for Fetal Cardiac Ultrasound Image Segmentation
Fetal cardiac ultrasound apical 4-chamber (A4C) view segmentation with deep learning technique is a crucial auxiliary to diagnosing congenital heart disease.
Yuchi Pan +4 more
doaj +1 more source
Local Features for Speaker Recognition [PDF]
An approach combining a simple local representation method with a k-nearest neighbors-based direct voting scheme is proposed for speaker recognition. This approach rises computational problems that we effectively solved through an approximate fast k-nearest neighbors search technique.
Roberto Paredes +2 more
openaire +2 more sources
Nonparametric Facial Feature Localization [PDF]
Any facial feature localization algorithm needs to incorporate two sources of information: 1) prior shape knowledge, and 2) image observations. Existing methods have primarily focused on different ways of representing and incorporating the image observations into the problem solution.
Birgi Tamersoy +2 more
openaire +2 more sources
High spatial resolution (HSR) imagery scene classification has recently attracted increased attention. The bag-of-visual-words (BoVW) model is an effective method for scene classification.
Qiqi Zhu +4 more
doaj +1 more source
A survey of person re-identification based on deep learning
Person re-identification is an important part of multi-target tracking across cameras; its aim is to identify the same person across different cameras. Given a query image, the purpose of person re-identification is to find the best match for the query ...
Qing LI +4 more
doaj +1 more source
Compressive sensing with local geometric features [PDF]
We propose a framework for compressive sensing of images with local distinguishable objects, such as stars, and apply it to solve a problem in celestial navigation. Specifically, let x ∈ ℝNbe an N pixel image, consisting of a small number of local distinguishable objects plus noise.
Gupta, Rishi V. +3 more
openaire +7 more sources
Copia digital. España : Ministerio de Cultura y Deporte.
Frente Sindicalista Revolucionario de Madrid. Junta Local
core +2 more sources
Combining Local and Global Features Into a Siamese Network for Sentence Similarity
Sentence similarity is widely used in various natural language tasks such as natural language inference, paraphrase identification, and question answering.
Yulong Li, Dong Zhou, Wenyu Zhao
doaj +1 more source
Feature interaction: a critical review and considered forecast [PDF]
The state of the art of the field of feature interactions in telecommunications services is reviewed, concentrating on three major research trends: software engineering approaches, formal methods, and on line techniques.
Magill, Evan +17 more
core +1 more source

