Three frequently recurring themes in machine learning, data mining and related disciplines
are clustering, feature selection and online learning. Motivated by the importance of these …

Mixture models have become arguably one of the most widely used statistical approaches to
perform inference on various types of data and have been successfully applied in data …

Human skin color detection plays an important role in the applications of skin segmentation,
face recognition, and tracking. To build a robust human skin color classifier is an essential …

This study examined a method to reduce energy consumption in office buildings.
Correspondingly, an optimal control method was proposed for heating, ventilation, and air …

Objective This work aims to estimate the portion of electric vehicle (EV) users who exhibit
procrastination-like behavior, almost equivalent to an “empty” battery, before they decide to …

Background The rapid and accurate identification of a minimal-size core set of
representative microbial species plays an important role in the clustering of microbial …

Due to high labeling cost, it is inevitable to introduce a certain proportion of noisy
correspondence into visual-text datasets, resulting in poor model robustness for cross-modal …

This paper proposes a dual-supervised uncertainty inference (DS-UI) framework for
improving Bayesian estimation-based UI in DNN-based image recognition. In the DS-UI, we …

Statistical modeling plays an important role in various research areas. It provides a way to
connect the data with the statistics. Based on the statistical properties of the observed data …

There is a family of label modification approaches including self and non-self label
correction (LC), and output regularisation. They are widely used for training robust deep …