Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Machine learning and data mining have become aware that using constraints when learning patterns and rules can be very useful. To this end, a large number of special purpose syste...
Abstract. We present a new method for voting exponential (in the number of attributes) size sets of Bayesian classifiers in polynomial time with polynomial memory requirements. Tra...
A significant focus in the United States recently has been to increase engagement and interest in STEM curricula, particularly among girls and underrepresented minorities [3]. In ...
Gabriela Marcu, Samuel J. Kaufman, Jaihee Kate Lee...
There are currently two dominant interface types for searching and browsing large image collections: keywordbased search, and searching by overall similarity to sample images. We ...
Ka-Ping Yee, Kirsten Swearingen, Kevin Li, Marti A...