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When age-invariant face recognition meets face age synthesis: A multi-task learning framework
To minimize the effects of age variation in face recognition, previous work either extracts
identity-related discriminative features by minimizing the correlation between identity-and …
identity-related discriminative features by minimizing the correlation between identity-and …
Individualized fMRI connectivity defines signatures of antidepressant and placebo responses in major depression
Though sertraline is commonly prescribed in patients with major depressive disorder (MDD),
its superiority over placebo is only marginal. This is in part due to the neurobiological …
its superiority over placebo is only marginal. This is in part due to the neurobiological …
Individuality-and commonality-based multiview multilabel learning
In multiview multilabel learning, each object is represented by several heterogeneous
feature representations and is also annotated with a set of discrete nonexclusive labels …
feature representations and is also annotated with a set of discrete nonexclusive labels …
A Survey: Approaches to facial detection and recognition with machine learning techniques
The present scenario in biometrics is very complex and challenging to classify the facial
recognition and authentication. This article described a detailed review on machine …
recognition and authentication. This article described a detailed review on machine …
Disentangled representation for age-invariant face recognition: A mutual information minimization perspective
X Hou, Y Li, S Wang - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
General face recognition has seen remarkable progress in recent years. However, large age
gap still remains a big challenge due to significant alterations in facial appearance and bone …
gap still remains a big challenge due to significant alterations in facial appearance and bone …
Multiview multi-instance multilabel active learning
Multiview multi-instance multilabel learning (M3L) is a framework for modeling complex
objects. In this framework, each object (or bag) contains one or more instances, is …
objects. In this framework, each object (or bag) contains one or more instances, is …
Comparative analysis of machine learning based approaches for face detection and recognition
R Kumar Shukla, A Kumar Tiwari - Journal of Information Technology …, 2021 - jitm.ut.ac.ir
This article discusses a device focused on images that enables users to recognise and
detect many face-related features using the webcam. In this article, we are performing …
detect many face-related features using the webcam. In this article, we are performing …
Hierarchical face aging through disentangled latent characteristics
Current age datasets lie in a long-tailed distribution, which brings difficulties to describe the
aging mechanism for the imbalance ages. To alleviate it, we design a novel facial age prior …
aging mechanism for the imbalance ages. To alleviate it, we design a novel facial age prior …
Consistent and specific multi-view multi-label learning with correlation information
In multi-view multi-label (MVML) learning, each sample is represented by several
heterogeneous distinct feature representations while associated with a set of class labels …
heterogeneous distinct feature representations while associated with a set of class labels …
Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning
Due to acromegaly's insidious onset and slow progression, its diagnosis is usually delayed,
thus causing severe complications and treatment difficulty. A convenient screening method …
thus causing severe complications and treatment difficulty. A convenient screening method …