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.
Papers
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Journal ArticleDOI
MILES: Multiple-Instance Learning via Embedded Instance Selection
TL;DR: This work proposes a learning method, MILES (multiple-instance learning via embedded instance selection), which converts the multiple- instance learning problem to a standard supervised learning problem that does not impose the assumption relating instance labels to bag labels.
Journal ArticleDOI
Image Categorization by Learning and Reasoning with Regions
Yixin Chen,James Z. Wang +1 more
TL;DR: This paper presents a new learning technique, which extends Multiple-Instance Learning (MIL), and its application to the problem of region-based image categorization, and provides experimental results on an image categorizing problem and a drug activity prediction problem.
Journal ArticleDOI
Real-Time Computerized Annotation of Pictures
Jia Li,James Z. Wang +1 more
TL;DR: New optimization and estimation techniques to address two fundamental problems in machine learning are developed, which serve as the basis for the Automatic Linguistic Indexing of Pictures - Real Time (ALIPR) system of fully automatic and high speed annotation for online pictures.
Journal Article
Studying Aesthetics in Photographic Images Using a Computational Approach
TL;DR: In this paper, the authors treated the challenge of automatically inferring aesthetic quality of pictures using their visual content as a machine learning problem, with a peer-rated online photo sharing website as data source.
Proceedings ArticleDOI
Real-time computerized annotation of pictures
Jia Li,James Z. Wang +1 more
TL;DR: New optimization and estimation techniques to address two fundamental problems in machine learning are developed that serve as the basis for the automatic linguistic indexing of pictures - real time (ALIPR) system of fully automatic and high-speed annotation for online pictures.