The latent topic model plays an important role in the unsupervised learning from a corpus, which provides a probabilistic interpretation of the corpus in terms of the latent topic...
We present a novel global stereo model that makes use of constraints from points with known depths, i.e., the Ground Control Points (GCPs) as referred to in stereo literature. Our...
We present a probabilistic algorithm to interpolate a sparse multivariate polynomial over a finite field, represented with a black box. Our algorithm modifies the algorithm of Ben...
The memory consistency model is a fundamental system property characterizing a multiprocessor. The relative merits of strict versus relaxed memory models have been widely debated ...
Alexander Jaffe, Thomas Moscibroda, Laura Effinger...
Sense annotation and lexicon building are costly affairs demanding prudent investment of resources. Recent work on multilingual WSD has shown that it is possible to leverage the a...
Mitesh M. Khapra, Saurabh Sohoney, Anup Kulkarni, ...