The combinatorial approach to software testing uses models to generate a minimal number of test inputs so that selected combinations of input values are covered. The most common c...
Christopher M. Lott, Ashish Jain, Siddhartha R. Da...
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
Classical approaches for supporting tutoring services face several limitations for ill-defined domains. To overcome these limitations, we argue for the utilization of hybrid approa...
Philippe Fournier-Viger, Roger Nkambou, Engelbert ...
Three-dimensional model acquisition of an object is essential in many multimedia applications. Constructing three-dimensional models of objects from two-dimensional images is an o...
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...