In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
Ramesh Nallapati, Susan Ditmore, John D. Lafferty,...
We present an approach to automatically register a large set of color images to a 3D geometric model. The problem arises from the modeling of real-world environments, where surfac...
3D reconstruction of urban environments is a widely studied subject since several years, as it can lead to many useful applications: virtual navigation, augmented reality, archite...