We propose an approach to categorize real-world natural scenes based on a semantic typicality measure. The proposed typicality measure allows to grade the similarity of an image wi...
One of the most important steps in text processing and information retrieval is stemming—reducing of words to stems expressing their base meaning, e.g., bake, baked, bakes, bakin...
Alexander F. Gelbukh, Mikhail Alexandrov, Sang-Yon...
We present a versatile, fast and simple framework to generate animations of scanned human characters from input optical motion capture data. Our method is purely meshbased and req...
Edilson de Aguiar, Rhaleb Zayer, Christian Theobal...
The purpose of this paper is to characterize a constituent boundary parsing algorithm, using an information-theoretic measure called generalized mutual information, which serves a...
In this paper, we propose a robust approach for recognition of text embedded in natural scenes. Instead of using binary information as most other OCR systems do, we extract featur...
Jing Zhang, Xilin Chen, Andreas Hanneman, Jie Yang...