Page 2 - Feature Extraction News Today

Cross-domain person re-identification (Re-ID) is a challenging and important task in monitoring safety and procedure compliance of industrial work places. In this paper, a novel method is proposed to reduce background induced domain shift for adaptive person Re-ID. Specifically, a foreground-background joint clustering module is proposed to extract discriminative foreground and background features and an attention-based feature disentanglement module is designed to reduce the interference of bac...

Exploring whether ultrasonic radiomics extracted by machine learning method can noninvasively evaluate lupus nephritis activity.

The market report is a good combination of qualitative and quantitative data that highlights significant market changes, obstacles that business and the competition must overcome, as well as

NOIDA, India, Nov. 16, 2022 /PRNewswire/ -- According to a new report published by UnivDatos Markets Insights, the Emotion Detection and Recognition Market is expected to reach USD 44

/PRNewswire/ -- According to a new report published by UnivDatos Markets Insights, the Emotion Detection and Recognition Market is expected to reach USD 44...

Hyperspectral band selection aims to identify an optimal subset of bands for hyperspectral images (HSIs). For most existing clustering-based band selection methods, they directly stretch each band into a single feature vector and employ the pixelwise features to address band redundancy. In this way, they do not take full consideration of the spatial information and deal with the importance of different regions in HSIs, which leads to a nonoptimal selection. To address these issues, a region-awar...

Today the US Patent & Trademark Office published a patent application from Apple that relates to a possible future health related feature regarding the diagnosis and monitoring of bruxism using motion sensors in AirPods.

CHICAGO, Sept. 20, 2022 /PRNewswire/ -- Data Bridge Market Research has just released their extensive report on the "Global Light Detection and Ranging (LiDAR) Market" which details the industry's

/PRNewswire/ -- Data Bridge Market Research has just released their extensive report on the "Global Light Detection and Ranging (LiDAR) Market" which details...

A text semantic classification is an essential approach to recognising the verbal intention of online learners, empowering reliable understanding and inquiry for the regulations of knowledge construction amongst students. However, online learning is increasingly switching from static watching patterns to the collaborative discussion. The current deep learning models, such as CNN and RNN, are ineffective in classifying verbal content contextually. Moreover, the contribution of verbal elements to ...