Fusion of global shape and local features using meta-classifier framework.

In computer vision, objects in an image can be described using many features such as shape, color, texture and local features. The number of dimensions for each type of feature has differing size. Basically, the underlying belief from a recognition point of view is that, the more features being used, the better the recognition performance. However, having more features does not necessarily correlate to better performance. The higher dimensional vectors resulting from fusion might contain irrelevant or noisy features that can degrade classifier performance. Repetitive and potentially useless information might be present which further escalates the 'curse of dimensionality' problem. Consequently, unwanted and irrelevant features are removed from the combination of features. Although this technique provides promising recognition performance, it is not efficient when it comes to computational time in model building. This study proposes meta- classifier framework to ensure all relevant features are not ignored, while maintaining minimal computational time. In this framework, individual classifiers are trained using the local and global shape features, respectively. Then, these classifiers results are combined as input to the meta- classifier. Experimental results have shown to be comparable, or superior to existing state-of-the-art works for object class recognition

21032 Mapping of Soft Soil Deposit\u27s Thickness Using Boreholes and Microtremors Data for Seismic Micro-Zoning of Kashiwazaki City, Niigata, Japan.

研究報告書ページ45-4

Meta-classifier based on boosted approach for object class recognition

Object class recognition deals with the classification of individual objects to a certain class. In images of natural scenes, objects appear in a variety of poses and scales, with or without occlusion. Object class recognition typically involves the extraction, processing and analysis of visual features such as color, shape, or texture from an object, and then associating a class label to it. In this study, global shape and local features are considered as discriminative features for object class recognition. Both local and shape features are combined in order to obtain better classification performance for each object class. A meta-classifier framework is proposed as a model for object class recognition. Meta-classifier is used to learn a decision classifier that optimally predicts the correctness of classification of base classifier for each object. In this framework, base classifiers based on boosting approach are trained using the local and global shape features, respectively. Then, these classifiers results are combined as input to the meta-classifier. The results from classification experiments showed that meta-classifier based on boosted approach performs better compared to some state-of- the-art approaches in object class recognition

The Response of Islamic Financial Service to the COVID-19 Pandemic: The Open Social Innovation of the Financial System

Novel Coronavirus, also known as COVID-19, is a health emergency that is having an ever-growing impact on the global economy. COVID-19 has caused economic disruption at an unprecedented speed and scale. The economic costs it will bring to society can only be measured in times to come. Millions of people across the globe have already become unemployed, and similarly, millions of businesses have either shut down or are on the verge of collapse. It is a great challenge for policymakers to minimize the economic impact of COVID-19 and put the economy on a growth trajectory once again. Unfortunately, there is so far no country in the world that can be viewed as a role model for its economic response to the COVID-19 pandemic. The present study proposes Islamic finance as a potential tool to help affected economies safely pass through the economic crisis resulting from the pandemic. This study identifies a four-stage COVID-19 model and proposes ten innovative Islamic financial services for each stage of the pandemic. In addition, it analyzes how these services can be effectively utilized at different stages to overcome the economic damage caused by the pandemic

The response of Islamic financial service to the COVID-19 pandemic: The open social innovation of the financial system

Novel Coronavirus, also known as COVID-19, is a health emergency that is having an ever-growing impact on the global economy. COVID-19 has caused economic disruption at an unprecedented speed and scale. The economic costs it will bring to society can only be measured in times to come. Millions of people across the globe have already become unemployed, and similarly, millions of businesses have either shut down or are on the verge of collapse. It is a great challenge for policymakers to minimize the economic impact of COVID-19 and put the economy on a growth trajectory once again. Unfortunately, there is so far no country in the world that can be viewed as a role model for its economic response to the COVID-19 pandemic. The present study proposes Islamic finance as a potential tool to help affected economies safely pass through the economic crisis resulting from the pandemic. This study identifies a four-stage COVID-19 model and proposes ten innovative Islamic financial services for each stage of the pandemic. In addition, it analyzes how these services can be effectively utilized at different stages to overcome the economic damage caused by the pandemic

Exploring the Role of Islamic Fintech in Combating the Aftershocks of COVID-19: The Open Social Innovation of the Islamic Financial System

The purpose of the current study is to investigate the role of the Islamic financial system in recovery post-COVID-19 and the way Fintech can be utilized to combat the economic reverberations created by COVID-19. The global financial crisis of 2008 has established the credentials of the Islamic financial system as a sustainable financial system which can save the long run interests of the average citizens around the world while adding value to the real economy. The basic ethical tenets available in the Islamic financial system make it more suited and readymade to fight the economic aftershocks of a pandemic like COVID-19. The basic principles of ethical Islamic finance have solid connections to financial stability and corporate social responsibility within the wide-reaching business context. With the emergence of Financial technology (Fintech) it has provided a missing impetus to the Islamic financial system to compete on equal ground with its conventional counterpart and prove its mettle. The study uses discourse analysis along with the content analysis to extract content and draw a conclusion. The findings of the study indicate that COVID-19 pandemic has provided the opportunity for the social and open innovation to grow and finance world have turned to open innovation to provide a speedy, timely, reliable, and sustainable solution to the world. The findings of the study provide significant implications for governments and policy makers in efficient application of Fintech and innovative Islamic financial services to fight the economic consequences of the COVID-19 pandemic

Exploring the role of Islamic Fintech in combating the aftershocks of COVID-19: The open social innovation of the Islamic financial system

The purpose of the current study is to investigate the role of the Islamic financial system in recovery post-COVID-19 and the way Fintech can be utilized to combat the economic reverberations created by COVID-19. The global financial crisis of 2008 has established the credentials of the Islamic financial system as a sustainable financial system which can save the long run interests of the average citizens around the world while adding value to the real economy. The basic ethical tenets available in the Islamic financial system make it more suited and readymade to fight the economic aftershocks of a pandemic like COVID-19. The basic principles of ethical Islamic finance have solid connections to financial stability and corporate social responsibility within the wide-reaching business context. With the emergence of Financial technology (Fintech) it has provided a missing impetus to the Islamic financial system to compete on equal ground with its conventional counterpart and prove its mettle. The study uses discourse analysis along with the content analysis to extract content and draw a conclusion. The findings of the study indicate that COVID-19 pandemic has provided the opportunity for the social and open innovation to grow and finance world have turned to open innovation to provide a speedy, timely, reliable, and sustainable solution to the world. The findings of the study provide significant implications for governments and policy makers in efficient application of Fintech and innovative Islamic financial services to fight the economic consequences of the COVID-19 pandemic