J
James Z. Wang
Researcher at Pennsylvania State University
Publications - 234
Citations - 23185
James Z. Wang is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Image retrieval & Automatic image annotation. The author has an hindex of 57, co-authored 225 publications receiving 21890 citations. Previous affiliations of James Z. Wang include Penn State College of Information Sciences and Technology & University of Minnesota.
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Journal ArticleDOI
A recommender system for component-based applications using machine learning techniques
TL;DR: The likelihood of success of a component-based application is increased by allowing users to find the most suitable components for them, enhancing their user experience and the application engagement through the deployment of the recommendation system that has better results.
Proceedings ArticleDOI
Quest for relevant tags using local interaction networks and visual content
TL;DR: A fully automatic and folksonomically scalable tag recommendation model that can recommend tags for a user's photos without an explicit knowledge of the user's personal tagging preferences is presented.
Proceedings ArticleDOI
Automatic categorization of figures in scientific documents
TL;DR: A machine-learning-based approach for automatic categorization of figures based on their functionalities in scholarly articles is developed and can be integrated into a scientific-document digital library.
Journal ArticleDOI
Contextual and Hierarchical Classification of Satellite Images Based on Cellular Automata
TL;DR: A new classification algorithm based on cellular automata is discussed which not only improves the classification accuracy rate in satellite images by using contextual techniques but also offers a hierarchical classification of pixels divided into levels of membership degree to each class and includes a spatial edge detection method of classes in the satellite image.
Journal ArticleDOI
Use of gold nanoshells to constrain and enhance laser thermal therapy of metastatic liver tumours.
TL;DR: A high nanoshell concentration in the surrounding liver parenchyma acts as both a beam stop for the laser and secondary heat source for the treatment, helping to better heat the lesions and confine the treatment to the lesion.