Design of supervision-scalable learning systems: Methodology and performance benchmarking

PixelHop: A Successive Subspace Learning (SSL) Method for Object Recognition

(2020) Yueru Chen et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Interpretable convolutional neural networks via feedforward design

(2019) C.-C. Jay Kuo et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

A survey on semi-supervised learning

(2019) Jesper E. van Engelen et al.   MACHINE LEARNING

On data-driven Saak transform

(2018) C.-C. Jay Kuo et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

The CNN as a Guided Multilayer RECOS Transform [Lecture Notes]

(2017) C.-C. Jay Kuo   IEEE SIGNAL PROCESSING MAGAZINE

Scalable Algorithms for Multi-Instance Learning

(2017) Xiu-Shen Wei et al.   IEEE Transactions on Neural Networks and Learning Systems

A brief introduction to weakly supervised learning

(2017) Zhi-Hua Zhou   National Science Review

Understanding convolutional neural networks with a mathematical model

(2016) C.-C. Jay Kuo   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Classification in the Presence of Label Noise: A Survey

(2014) Benoit Frenay et al.   IEEE Transactions on Neural Networks and Learning Systems

A review of multi-instance learning assumptions

(2010) James Foulds et al.   KNOWLEDGE ENGINEERING REVIEW

Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]

(2009) O. Chapelle et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Semi-supervised learning by disagreement

(2009) Zhi-Hua Zhou et al.   KNOWLEDGE AND INFORMATION SYSTEMS