An overview on semi-supervised support vector machine

S Ding, Z Zhu, X Zhang - Neural Computing and Applications, 2017 - Springer
Support vector machine (SVM) is a machine learning method based on statistical learning
theory. It has a lot of advantages, such as solid theoretical foundation, global optimization …

Multiple Feature Fusion Based on Co‐Training Approach and Time Regularization for Place Classification in Wearable Video

V Dovgalecs, R Mégret… - Advances in Multimedia, 2013 - Wiley Online Library
The analysis of video acquired with a wearable camera is a challenge that multimedia
community is facing with the proliferation of such sensors in various applications. In this …

A review of research and development of semi-supervised learning strategies for medical image processing

S Yang - EAI Endorsed Transactions on e-Learning, 2023 - publications.eai.eu
Accurate and robust segmentation of organs or lesions from medical images plays a vital
role in many clinical applications such as diagnosis and treatment planning. With the …

Indoor location estimation using a wearable camera with application to the monitoring of persons at home

V Dovgalecs - 2011 - theses.hal.science
Visual lifelog indexing by content has emerged as a high reward application. Enabled by the
recent availability of miniaturized recording devices, the demand for automatic extraction of …

[PDF][PDF] Indoor location estimation using a wearable camera with application to the monitoring of persons at home

A Baskurt, FBD de recherches INRIA - 2012 - Citeseer
Visual lifelog indexing by content has emerged as a high reward application. Enabled by the
recent availability of miniaturized recording devices, the demand for automatic extraction of …