8 Result(s)
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Article
Open AccessReal-time distance field acceleration based free-viewpoint video synthesis for large sports fields
Free-viewpoint video allows the user to view objects from any virtual perspective, creating an immersive visual experience. This technology enhances the interactivity and freedom of multimedia performances. Ho...
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Article
Open AccessCausal Reasoning Meets Visual Representation Learning: A Prospective Study
Visual representation learning is ubiquitous in various real-world applications, including visual comprehension, video understanding, multi-modal analysis, human-computer interaction, and urban computing. Due ...
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Chapter and Conference Paper
Correction to: Proceedings of the Fifth Euro-China Conference on Intelligent Data Analysis and Applications
In the original version of the book, the first affiliation “Princeton University, Princeton, NJ 08544, USA” has to be removed for chapter authors “Lu Sun” and “Yuan Tian” in chapters “A Minimum Spanning Tree A...
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Chapter and Conference Paper
Clustering Help-Seeking Behaviors in LGBT Online Communities: A Prospective Trial
Online Lesbian, Gay, Bisexual, and Transgender (LGBT) support communities have emerged as a major social media platform for sexual and gender minorities (SGM). These communities play a crucial role in providin...
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Chapter and Conference Paper
Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks
Recently, Magnetic Resonance imaging-only (MR-only) radiotherapy treatment planning (RTP) receives growing interests since it is radiation-free and time/cost efficient. A key step in MR-only RTP is the genera...
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Chapter and Conference Paper
Attribute Conjunction Learning with Recurrent Neural Network
Searching images with multi-attribute queries shows practical significance in various real world applications. The key problem in this task is how to effectively and efficiently learn from the conjunction of q...
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Article
Feature selection and feature learning for high-dimensional batch reinforcement learning: A survey
Tremendous amount of data are being generated and saved in many complex engineering and social systems every day. It is significant and feasible to utilize the big data to make better decisions by machine lear...
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Article
Open AccessFeature selection and replacement by clustering attributes
Feature selection is to find useful and relevant features from an original feature space to effectively represent and index a given dataset. It is very important for classification and clustering problems, whi...
