Classification of texts potentially containing a complex and specific terminology requires the use of learning methods that do not rely on extensive feature engineering. In this w...
In this investigation, we propose a probabilistic approach for estimating the ages of Blog authors by means of Naive Bayesian Classifier. We can learn context of characteristic wor...
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
The multimedia information retrieval community has dedicated extensive research effort to the problem of content-based image retrieval (CBIR). However, these systems find their ma...
Tom Yeh, Brandyn White, Jose San Pedro, Boris Katz...
We present a new approach to model and classify breast parenchymal tissue. Given a mammogram, first, we will discover the distribution of the different tissue densities in an unsu...