— We propose a randomized data mining method that finds clusters of spatially overlapping images. The core of the method relies on the min-Hash algorithm for fast detection of p...
We present a random-walk-based approach to learning paraphrases from bilingual parallel corpora. The corpora are represented as a graph in which a node corresponds to a phrase, an...
In this paper, a cooperative multicast scheme that uses Randomized Distributed Space Time Codes (RDSTC), along with packet level Forward Error Correction (FEC), is studied. For the...
Ozgu Alay, Zhili Guo, Yao Wang, Elza Erkip, Shiven...
Program verification systems based on automated theorem provers rely on user-provided axioms in order to verify domain-specific properties of code. However, formulating axioms corr...
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...