Browsing Department of Computer Science and Engineering by Author "Ding, Chris"
Now showing items 1-5 of 5
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FEATURE SELECTION AND DATA RECONSTRUCTION VIA ROBUST AND FLEXIBLE LEARNING MODELS
Ming, Di (2020-05-16)Feature selection and data reconstruction are very important topics in machine learning area. In today's big data environment, many data could have high dimensions and come with noise, corruption, etc. Thus, we develop ... -
Image Annotation And Feature Engineering Via Structural Sparsity And Low Rank Approximation
Kong, Deguang (Computer Science & Engineering, 2014-03-12)Nowadays, in order to sense environment and understand human behaviors, data analysis plays a more and more important role to handle heterogeneous data ranging from different domains, e.g., image categorization/annotation, ... -
Machine Learning: Several Advances in Linear Discriminant Analysis, Multi-View Regression and Support Vector Machine
Zheng, Shuai (2017-04-24)Machine learning technology is now widely used in engineering, science, finance, healthcare, etc. In this dissertation, we make several advances in machine learning technologies for high dimensional data analysis, image ... -
Recommender Systems: An Algorithm To Predict "Who Rate What"
Singhal, Rahul (Computer Science & Engineering, 2011-03-03)Recommender systems are systems that recommend content for us by looking at certain factors including what other people are doing as well as what we are doing. Examples of such systems present today are Amazon.com recommending ... -
Social Data Analytics Using Tensors And Sparse Techniques
Zhang, Miao (Computer Science & Engineering, 2014-07-14)The development of internet and mobile technologies is driving an earthshaking social media revolution. They bring the internet world a huge amount of social media content, such as images, videos, comments, etc. Those ...