An overview on spectral and spatial information fusion for hyperspectral image classification: Current trends and challenges
M Imani, H Ghassemian - Information fusion, 2020 - Elsevier
Hyperspectral images (HSIs) have a cube form containing spatial information in two
dimensions and rich spectral information in the third one. The high volume of spectral bands …
dimensions and rich spectral information in the third one. The high volume of spectral bands …
A comprehensive overview of biometric fusion
The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …
fingerprints only) is often stymied by various factors such as poor data quality or limited …
Deep coupling autoencoder for fault diagnosis with multimodal sensory data
Effective fault diagnosis of rotating machinery has multifarious benefits, such as improved
safety, enhanced reliability, and reduced maintenance cost, for complex engineered …
safety, enhanced reliability, and reduced maintenance cost, for complex engineered …
Optimal estimation of low-rank factors via feature level data fusion of multiplex signal systems
The design of fusion engines is a subject of great importance in a variety of fields. In this
paper, we focus on the problem of linear fusion at the feature level for multiple signal …
paper, we focus on the problem of linear fusion at the feature level for multiple signal …
Overview of the combination of biometric matchers
Biometric identity verification refers to technologies used to measure human physical or
behavioral characteristics, which offer a radical alternative to passports, ID cards, driving …
behavioral characteristics, which offer a radical alternative to passports, ID cards, driving …
Multi-level feature abstraction from convolutional neural networks for multimodal biometric identification
In this paper, we propose a deep multimodal fusion network to fuse multiple modalities (face,
iris, and fingerprint) for person identification. The proposed deep multimodal fusion …
iris, and fingerprint) for person identification. The proposed deep multimodal fusion …
Double-cohesion learning based multiview and discriminant palmprint recognition
Palmprint recognition has been widely used in security authentication. However, most of the
existing palmprint representation methods are focused on a special application scenario …
existing palmprint representation methods are focused on a special application scenario …
Skeleton-based gait recognition via robust frame-level matching
Gait is a useful biometric feature for human identification in video surveillance applications
since it can be obtained without subject cooperation. In recent years, model-based gait …
since it can be obtained without subject cooperation. In recent years, model-based gait …
Multimodal facial biometrics recognition: Dual-stream convolutional neural networks with multi-feature fusion layers
Facial recognition for surveillance applications still remains challenging in uncontrolled
environments, especially with the appearances of masks/veils and different ethnicities …
environments, especially with the appearances of masks/veils and different ethnicities …
Wearable sensor based multimodal human activity recognition exploiting the diversity of classifier ensemble
H Guo, L Chen, L Peng, G Chen - … of the 2016 ACM international joint …, 2016 - dl.acm.org
Effectively utilizing multimodal information (eg, heart rate and acceleration) is a promising
way to achieve wearable sensor based human activity recognition (HAR). In this paper, an …
way to achieve wearable sensor based human activity recognition (HAR). In this paper, an …