We have developed and applied modeling, simulation, and analysis capabilities for addressing strategic and tactical logistics problems in the chemical industry. These problems hav...
Over the past century alone, millions of hours of audiovisual data have been collected with great potential for e.g., new creative productions, research and educational purposes. ...
Many content-based retrieval systems (CBIRS) describe images using the SIFT local features because of their very robust recognition capabilities. While SIFT features proved to cop...
TOP-SURF is an image descriptor that combines interest points with visual words, resulting in a high performance yet compact descriptor that is designed with a wide range of conte...
Many combinatorial problems arising in machine learning can be reduced to the problem of minimizing a submodular function. Submodular functions are a natural discrete analog of co...