The dimensionality reduction problem has been widely studied in the database literature because of its application for concise data representation in a variety of database applica...
This paper takes an overview of the web mining concept and how it can be useful and beneficial to the business improvement by facilitating its applications in various areas over t...
This paper presents a new approach to extracting and representing structural features of images. The approach is based on both a region-based analysis and a contour-based analysis...
In recent years, the language model Latent Dirichlet Allocation (LDA), which clusters co-occurring words into topics, has been widely applied in the computer vision field. Howeve...
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...