Single sample face recognition in the last decade: a survey

N Kumar, V Garg - International Journal of Pattern Recognition and …, 2019 - World Scientific
Single sample face recognition (SSFR) is a challenging research problem in which only one
face image per person is available for training. Moreover, the face image may have different …

Diversity and consistency learning guided spectral embedding for multi-view clustering

Z Li, C Tang, J Chen, C Wan, W Yan, X Liu - Neurocomputing, 2019 - Elsevier
Multi-view clustering aims to group data points into their classes. Exploiting the
complementary information underlying multiple views to benefit the clustering performance …

Automated biometric authentication with cloud computing

H Al-Assam, W Hassan, S Zeadally - Biometric-based physical and …, 2019 - Springer
The convenience provided by cloud computing has led to an increasing trend of many
business organizations, government agencies, and individual customers to migrate their …

Algorithms for approximate subtropical matrix factorization

S Karaev, P Miettinen - Data Mining and Knowledge Discovery, 2019 - Springer
Matrix factorization methods are important tools in data mining and analysis. They can be
used for many tasks, ranging from dimensionality reduction to visualization. In this paper we …

[图书][B] Health and Wellness Measurement Approaches for Mobile Healthcare

GK Moghaddam, CR Lowe - 2019 - Springer
The correlation between sedentary lifestyles and health consequences such as overweight
(Body Mass Index (BMI) of 25–29.9) and obesity (BMI> 30)[1–5], diabetes mellitus (DM)[6 …

Ex vivo biosignatures

G Khalili Moghaddam, CR Lowe… - Health and Wellness …, 2019 - Springer
In this chapter, mhealth solutions for remote monitoring of ex vivo biosignatures is initially
discussed in lieu of instrumentation. A summary of versatile sensor technologies that …

Matrix factorization over dioids and its applications in data mining

S Karaev - 2019 - publikationen.sulb.uni-saarland.de
Matrix factorizations are an important tool in data mining, and they have been used
extensively for finding latent patterns in the data. They often allow to separate structure from …