Generalized multiview analysis: A discriminative latent space
This paper presents a general multi-view feature extraction approach that we call
Generalized Multiview Analysis or GMA. GMA has all the desirable properties required for …
Generalized Multiview Analysis or GMA. GMA has all the desirable properties required for …
Green citrus detection using 'eigenfruit', color and circular Gabor texture features under natural outdoor conditions
A machine vision algorithm was developed to detect and count immature green citrus fruits
in natural canopies using color images. A total of 96 images were acquired in October 2010 …
in natural canopies using color images. A total of 96 images were acquired in October 2010 …
Using the original and 'symmetrical face'training samples to perform representation based two-step face recognition
A limited number of available training samples have become one bottleneck of face
recognition. In real-world applications, the face image might have various changes owing to …
recognition. In real-world applications, the face image might have various changes owing to …
Data uncertainty in face recognition
The image of a face varies with the illumination, pose, and facial expression, thus we say
that a single face image is of high uncertainty for representing the face. In this sense, a face …
that a single face image is of high uncertainty for representing the face. In this sense, a face …
Integrating conventional and inverse representation for face recognition
Representation-based classification methods are all constructed on the basis of the
conventional representation, which first expresses the test sample as a linear combination of …
conventional representation, which first expresses the test sample as a linear combination of …
Towards automated statistical partial discharge source classification using pattern recognition techniques
H Janani, B Kordi - High Voltage, 2018 - Wiley Online Library
This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …
discharge (PD) source identification and probabilistic interpretation of the classification …
A survey on techniques to handle face recognition challenges: occlusion, single sample per subject and expression
Face recognition is receiving a significant attention due to the need of facing important
challenges when develo** real applications under unconstrained environments. The …
challenges when develo** real applications under unconstrained environments. The …
Integrate the original face image and its mirror image for face recognition
The face almost always has an axis-symmetrical structure. However, as the face usually
does not have an absolutely frontal pose when it is imaged, the majority of face images are …
does not have an absolutely frontal pose when it is imaged, the majority of face images are …
Pose-robust face recognition via sparse representation
We propose a pose-robust face recognition method to handle the challenging task of face
recognition in the presence of large pose difference between gallery and probe faces. The …
recognition in the presence of large pose difference between gallery and probe faces. The …
Robust pose invariant face recognition using coupled latent space discriminant analysis
We propose a novel pose-invariant face recognition approach which we call Discriminant
Multiple Coupled Latent Subspace framework. It finds the sets of projection directions for …
Multiple Coupled Latent Subspace framework. It finds the sets of projection directions for …