We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
The ignorance on spatial information and semantics of visual words becomes main obstacles in the bag-of-visual-words (BoW) method for image classification. To address the obstacles...
A method is presented for segmenting documents into conceptually related areas. Determining the equivalence of text is often based on the number of word repetitions. This approach...
Abstract. The main result is that for every recursively enumerable existential consistent theory (in the usual language of group theory), there exists a finitely presented SQ-univ...
This paper presents a very practical type-2-fuzzistics methodology for obtaining interval type-2 fuzzy set (IT2 FS) models for words, one that is called an interval approach (IA). ...