The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
We introduce a general method to count and randomly sample unlabeled combinatorial structures. The approach is based on pointing unlabeled structures in an “unbiased” way, i.e...
Abstract. Programs commonly maintain multiple linked data structures. Correlations between multiple data structures may often be nonexistent or irrelevant to verifying that the pro...
Roman Manevich, Josh Berdine, Byron Cook, G. Ramal...
The Compact Directed Acyclic Word Graph (CDAWG) is a space efficient data structure that supports indices of a string. The Symmetric Directed Acyclic Word Graph (SCDAWG) for a st...
This paper presents a new method for image retrieval using a graph object oriented database for processing the information extracted from the image through the segmentation process...