The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We compare the performance of multilayer perceptrons (MLPs) obtained using back propagation (BP), decision boundary making (DBM) algorithm and extreme learning machine (ELM), and investigate better method for developing aware agents (A-agent) that are suitable for implementation in portable/wearable computing devices (P/WCD). The DBM has been proposed by us for inducing compact and high performance...
Outlier detection is a method to improve performances of machine learning models. In this paper, we use an outlier detection method to improve the performance of our proposed algorithm called decision boundary making (DBM). The primary objective of DBM algorithm is to induce compact and high performance machine learning models. To obtain this model, the DBM reconstructs the performance of support...
The purpose of our study is to induce compact and high performance machine learning models. In our earlier study, we proposed a decision boundary making (DBM) algorithm. The main philosophy of the DBM algorithm is to reconstruct a high performance model with much smaller cost. In our study, we use support vector machine as a high performance model, and a multilayer neural network, i.e., multilayer...
In recent years, portable computing devices (PCDs) such as smart phones are becoming more and more popular, and many users are using applications on their PCDs. To customize applications for each user, we suggest to use awareness agents (A-agents) that can help users. However, A-agents usually become large. To reduce the size of A-agents, we have proposed decision boundary learning (DBL) based on...
In today's society, information hiding is becoming a key mechanism to protecting one's secrets. In our study, we have proposed several new information hiding methods based on image morphing. To synthesize a large number of virtual but natural images through morphing to cover different kinds of secrets, it is necessary to propose some efficient and effective method for automatic feature point detection...
Smartphone, in recent year, becomes popular and has been widely applied by users. In order to meet different needs from users, embedding "awareness" providing supports by understanding onto smartphone devices is necessry. Due to the limitations (e.g. computing resources, etc.) on smartphone, methods that is light but with high performance are strongly expected. In this study, the concept...
The fixed pattern noise (FPN) of the infrared focal plane array severely limits the system performance, and the non-uniformity correction algorithm is a key technique of thermal imaging system. The scene-based non-uniformity correction algorithm does not require a shutter to block the field of view, but utilizes the scene information of image sequences to calculate the infrared focal plane array non-uniformity...
DDoS attack is a major Internet security problem-DoS is that lots of clients simultaneously send service requests to certain server on the internet such that this server is too busy to provide normal services for others. Attackers using legitimate packets and often changing package information, so that traditional detection methods based on feature descriptions is difficult to detect it. This paper...
In view of the defects in model of thermocouple characteristic using BP neural network (BPNN), such as lower precision, varying output, instability (after repeated training, the output may be queer), a model of thermocouple characteristic based on Generalized Regression Neural Network (GRNN) is established. The paper gives the process of model building for Ni-Cr Constantan thermocouple characteristic...
It is often that the learned neural networks end with different decision boundaries under the variations of training data, learning algorithms, architectures, and initial random weights. Such variations are helpful in designing neural network ensembles, but are harmful for making unstable performances, i.e., large variances among different learnings. This paper discusses how to reduce such variances...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.