10 Result(s)
within
Artificial Intelligence
Information Storage and Retrieval
Yi**ang Chen
Conference Paper
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Chapter and Conference Paper
Human Action Recognition Based on Sub-data Learning
Human action recognizing nowadays plays a key role in varieties of computer vision applications while at the same time it’s quite challenging for the requirement of accuracy and robustness. Most current comput...
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Chapter and Conference Paper
Image-Text Dual Model for Small-Sample Image Classification
Small-sample classification is a challenging problem in computer vision and has many applications. In this paper, we propose an image-text dual model to improve the classification performance on small-sample d...
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Chapter and Conference Paper
A Study of Product Form Design Using the Theory of Archetypes
The objective of this paper is to design product forms by using the theory of archetypes. The investigation contains three topics and there are three main steps. The first step is to develop the personality ad...
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Chapter and Conference Paper
The Influence of Numerical Displays on Human Performance in the Manual RVD Task
The present study aims to identify the influence of the display of numerical data on human performance in the manually controlled rendezvous and docking (manual RVD) task. Two display schemes were designed and...
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Chapter and Conference Paper
WebBrain: Joint Neural Learning of Large-Scale Commonsense Knowledge
Despite the emergence and growth of numerous large knowledge graphs, many basic and important facts about our everyday world are not readily available on the Web. To address this, we present WebBrain, a new ap...
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Chapter and Conference Paper
Sequential Labeling with Online Deep Learning: Exploring Model Initialization
In this paper, we leverage both deep learning and conditional random fields (CRFs) for sequential labeling. More specifically, we explore parameter initialization and randomization in deep CRFs and train the w...
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Chapter and Conference Paper
A Bayesian Classifier for Learning from Tensorial Data
Traditional machine learning methods characterize data observations by feature vectors, where an entry of a vector denotes a scalar feature value of a data instance. While this data representation facilitates ...
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Chapter and Conference Paper
Design Improvement Requirements for the Upper Extremity Rehabilitation Devices in Taiwan
This study aims to survey the most frequently used upper extremity rehabilitation devices (UERD) in Taiwan and how well their design meet the practical requirements of rehabilitation therapy. A questionnaire w...
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Chapter and Conference Paper
IT Governance Framework Adoption: Establishing Success Factors
The spectacular corporate collapses over the past decade, along with the introduction of the Sarbanes-Oxley Act and similar legislations across the world, have promoted significant awareness of IT governance. ...
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Chapter and Conference Paper
An Empathic Approach in Assistive Technology to Provide Job Accommodations for Disabilities
When the psychologist Abraham Maslow first defined the five levels of human need in 1943, people started to realise how human needs should be fulfilled and many products have since been designed to fulfill the...
