Semi-supervised multi-view concept decomposition
Abstract Concept Factorization (CF), as a novel paradigm of representation learning, has
demonstrated superior performance in multi-view clustering tasks. It overcomes limitations …
demonstrated superior performance in multi-view clustering tasks. It overcomes limitations …
An adaptive weighted self-representation method for incomplete multi-view clustering
L Feng, G Zhou, J Chang - International Journal of Machine Learning and …, 2024 - Springer
For multi-view data in reality, part of its elements may be missing because of human or
machine error. Incomplete multi-view clustering (IMC) clusters the incomplete multi-view …
machine error. Incomplete multi-view clustering (IMC) clusters the incomplete multi-view …
Comprehensive Analysis of Attacks and Defenses in IoT Sensory Big Data Analysis
This chapter takes a deep dive into the security issues surrounding IoT sensory big data
analysis, which is becoming increasingly important in today's world of ubiquitous …
analysis, which is becoming increasingly important in today's world of ubiquitous …
Cloud Computing for IoT Sensing Data
The integration of sensor cloud technology has emerged as a revolutionary force across
numerous sectors in the ever-evolving field of intelligent technologies. Born out of the …
numerous sectors in the ever-evolving field of intelligent technologies. Born out of the …