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Chapter and Conference Paper
Exploring Mixed Reality Group Activity Visualisations for Teaching Assistants to Support Collaborative Learning
This paper presents the intermediate results of our Mixed Reality (MR)-based visualisation prototype for teaching assistants (TAs) to support collaborative learning. Many universities have introduced TA progra...
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Article
Corpus Construction for Historical Newspapers: A Case Study on Public Meeting Corpus Construction Using OCR Error Correction
Large text corpora are indispensable for natural language processing. However, in various fields such as literature and humanities, many documents to be studied are only scanned to images, but not converted to...
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Article
Information Extraction from Public Meeting Articles
Public meeting articles are the key to understanding the history of public opinion and public sphere in Australia. Information extraction from public meeting articles can obtain new insights into Australian hi...
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Chapter and Conference Paper
Multi-label Disengagement and Behavior Prediction in Online Learning
Student disengagement prediction in online learning environments is beneficial in various ways, especially to help provide timely cues to make some feedback or stimuli to the students. In this work, we propose...
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Article
Open AccessImproving topic modeling through homophily for legal documents
Topic modeling that can automatically assign topics to legal documents is very important in the domain of computational law. The relevance of the modeled topics strongly depends on the legal context they are u...
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Chapter and Conference Paper
Legal Information as a Complex Network: Improving Topic Modeling Through Homophily
Topic modeling is a key component to computational legal science. Network analysis is also very important to further understand the structure of references in legal documents. In this paper, we improve topic ...
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Article
Open AccessSpatio-temporal silhouette sequence reconstruction for gait recognition against occlusion
Gait-based features provide the potential for a subject to be recognized even from a low-resolution image sequence, and they can be captured at a distance without the subject’s cooperation. Person recognition ...
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Article
Open AccessGait-based age estimation using multi-stage convolutional neural network
Gait-based age estimation has been extensively studied for various applications because of its high practicality. In this paper, we propose a gait-based age estimation method using convolutional neural network...
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Chapter and Conference Paper
Gait-Based Age Estimation Using a DenseNet
Human age is one of important attributes for many potential applica...
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Article
Open AccessThe OU-ISIR Large Population Gait Database with real-life carried object and its performance evaluation
In this paper, we describe the world’s largest gait database with real-life carried objects (COs), which has been made publicly available for research purposes, and its application to the performance evaluatio...
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Article
Open AccessMulti-view large population gait dataset and its performance evaluation for cross-view gait recognition
This paper describes the world’s largest gait database with wide view variation, the “OU-ISIR gait database, multi-view large population dataset (OU-MVLP)”, and its application to a statistically reliable perf...
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Article
Effects of branching position of alkyl side chains on ordering structure and charge transport property in thienothiophenedione- and quinacridone-based semiconducting polymers
To investigate the effect of the branching position of the alkyl groups on the side chain of semiconducting polymers, we synthesized two series of semiconducting polymers based on thienothiophene-2,5-dione (PTTD4...
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Chapter and Conference Paper
Evaluation and Fair Comparison of Human Tracking Methods with PTZ Cameras
Evaluation and comparison of methods, repeatability of experiments, and availability of data are the dynamics driving science forward. In computer vision, a database with ground-truth information enables fair ...
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Chapter and Conference Paper
Regression Based Trajectory Learning and Prediction for Human Motion
This paper presents a method for learning and predicting human motion in closed environments.
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Chapter and Conference Paper
Tracking People with Active Cameras
In this paper, we introduce a novel method on tracking multiple people using multiple active cameras. The aim is to capture as many targets as possible at any time using a limited number of active cameras.
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Chapter and Conference Paper
Extracting Interval Distribution of Human Interactions
Recently, activity support systems that enable dialogue with humans have been intensively studied owing to the development of various sensors and recognition technologies. In order to enable a smooth dialogue ...
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Chapter and Conference Paper
Automatic Detection of Unconscious Reactions to Illuminance Changes in Illumination
In this study, we investigated expressive facial reactions in response to changes in the visual environment and their automatic extraction from sensors, in order to construct a comfortable level of illuminatio...
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Chapter and Conference Paper
Table-Top Interface Using Fingernail Images and Real Object Recognition
Many researchers have proposed the development of table-top interfaces in the last decade. In a table-top system, for user satisfaction, they must be able to operate digital and analog media seamlessly. In thi...
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Article
Human tracking with variable prediction steps based on Kullback-Leibler divergence
This article deals with a path-planning problem in tracking humans in order to obtain detailed information about human behavior and characteristics. In our method, path planning is performed based on Kullback-...
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Chapter and Conference Paper
A Path Planning Method for Human Tracking Agents Using Variable-Term Prediction
This paper deals with a multi-agent path planning problem for tracking humans. Path of agents is planned based on the similarity between the prediction of the intensity of humans existing and the intensity of ...
