We propose a method for simultaneous detection, localization and segmentation of objects of a known category. We show that this is possible by using segments as features. To this ...
Object-oriented database OODB users bring with them large quantities of legacy data megabytes and even gigabytes. In addition, scienti c OODB users continually generate new data. ...
We analyze and improve low rank representation (LRR), the state-of-the-art algorithm for subspace segmentation of data. We prove that for the noiseless case, the optimization mode...
Model-driven development (MDD) is an emerging paradigm that improves the software development lifecycle, particularly for large software systems by providing a higherabstraction fo...
Krishnakumar Balasubramanian, Aniruddha S. Gokhale...
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...