Multi-Task Convolutional Neural Network Leading to High Performance and Interpretability via Attribute Estimation
نویسندگان
چکیده
منابع مشابه
An artificial Neural Network approach to monitor and diagnose multi-attribute quality control processes
One of the existing problems of multi-attribute process monitoring is the occurrence of high number of false alarms (Type I error). Another problem is an increase in the probability of not detecting defects when the process is monitored by a set of independent uni-attribute control charts. In this paper, we address both of these problems and consider monitoring correlated multi-attributes proce...
متن کاملDynamic Multi-Task Learning with Convolutional Neural Network
Multi-task learning and deep convolutional neural network (CNN) have been successfully used in various fields. This paper considers the integration of CNN and multi-task learning in a novel way to further improve the performance of multiple related tasks. Existing multi-task CNN models usually empirically combine different tasks into a group which is then trained jointly with a strong assumptio...
متن کاملAge Estimation Based on Multi-Region Convolutional Neural Network
As one of the most important biologic features, age has tremendous application potential in various areas such as surveillance, human-computer interface and video detection. In this paper, a new convolutional neural network, namely MRCNN (Multi-Region Convolutional Neural Network), is proposed based on multiple face subregions. It joins multiple face subregions together to estimation age. Each ...
متن کاملPerformance Comparison of Binarized Neural Network with Convolutional Neural Network
Deep learning is a trending topic widely studied by researchers due to increase in the abundance of data and getting meaningful results with them. Convolutional Neural Networks (CNN) is one of the most popular architectures used in deep learning. Binarized Neural Network (BNN) is also a neural network which consists of binary weights and activations. Neural Networks has large number of paramete...
متن کاملMarkov Network Estimation From Multi-attribute Data
Many real world network problems often concern multivariate nodal attributes such as image, textual, and multi-view feature vectors on nodes, rather than simple univariate nodal attributes. The existing graph estimation methods built on Gaussian graphical models and covariance selection algorithms can not handle such data, neither can the theories developed around such methods be directly appli...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
سال: 2020
ISSN: 0916-8508,1745-1337
DOI: 10.1587/transfun.2020sml0006