Computer-aided diagnosis of glaucoma using fundus images: A review
Background and objectives Glaucoma is an eye condition which leads to permanent
blindness when the disease progresses to an advanced stage. It occurs due to inappropriate …
blindness when the disease progresses to an advanced stage. It occurs due to inappropriate …
Neighborhood linear discriminant analysis
Abstract Linear Discriminant Analysis (LDA) assumes that all samples from the same class
are independently and identically distributed (iid). LDA may fail in the cases where the …
are independently and identically distributed (iid). LDA may fail in the cases where the …
[HTML][HTML] Patient similarity in prediction models based on health data: a scoping review
Background: Physicians and health policy makers are required to make predictions during
their decision making in various medical problems. Many advances have been made in …
their decision making in various medical problems. Many advances have been made in …
Broad learning system with locality sensitive discriminant analysis for hyperspectral image classification
H Yao, Y Zhang, Y Wei, Y Tian - Mathematical Problems in …, 2020 - Wiley Online Library
In this paper, we propose a new method for hyperspectral images (HSI) classification,
aiming to take advantage of both manifold learning‐based feature extraction and neural …
aiming to take advantage of both manifold learning‐based feature extraction and neural …
Multimodal face-pose estimation with multitask manifold deep learning
Face-pose estimation aims at estimating the gazing direction with two-dimensional face
images. It gives important communicative information and visual saliency. However, it is …
images. It gives important communicative information and visual saliency. However, it is …
Motor bearing fault diagnosis using trace ratio linear discriminant analysis
Bearings are critical components in induction motors and brushless direct current motors.
Bearing failure is the most common failure mode in these motors. By implementing health …
Bearing failure is the most common failure mode in these motors. By implementing health …
Image-based three-dimensional human pose recovery by multiview locality-sensitive sparse retrieval
Image-based 3-D human pose recovery is usually conducted by retrieving relevant poses
with image features. However, it suffers from the high dimensionality of image features and …
with image features. However, it suffers from the high dimensionality of image features and …
Deeply-learned feature for age estimation
Human age provides key demographic information. It is also considered as an important soft
biometric trait for human identification or search. Compared to other pattern recognition …
biometric trait for human identification or search. Compared to other pattern recognition …
A tensor-based multiattributes visual feature recognition method for industrial intelligence
Industrial Internet-of-Things (IIoT) has revolutionized almost every aspect of industrial
manufacturing through industrial intelligence by incorporating production equipment, mobile …
manufacturing through industrial intelligence by incorporating production equipment, mobile …
[PDF][PDF] Locality adaptive discriminant analysis.
Abstract Linear Discriminant Analysis (LDA) is a popular technique for supervised
dimensionality reduction, and its performance is satisfying when dealing with Gaussian …
dimensionality reduction, and its performance is satisfying when dealing with Gaussian …