Many applications in text and speech processing require the analysis of distributions of variable-length sequences. We recently introduced a general kernel framework, rational ker...
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Scalable Vector Graphics (SVG) is a language developed by the World Wide Web Consortium for describing two dimensional vector graphics for storage and distribution on the Web. Unl...
Greg J. Badros, Jojada J. Tirtowidjojo, Kim Marrio...
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...