Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar ...
Hash functions play the most important role in various cryptologic applications, ranging from data integrity checking to digital signatures. Our goal is to introduce a new hash fu...
In today’s world of globalization, local language storage and retrieval is essential for the developing nations like India. As our country is diversified by languages and only 10...
This paper is concerned with the estimation of steganographic capacity in digital images, using information theoretic bounds and very large-scale experiments to approximate the dis...
Abstract. This paper presents an indexing technique based on WordNet synonyms and holonyms. This technique has been developed for the Geographical Information Retrieval task. It ma...