In this paper, we evaluate and investigate two main types of relevance feedback algorithms; the Euclidean and the correlation?based approaches. In the first case, we examine heuri...
Disclosures of health databases for secondary purposes is increasing rapidly. In this paper, we develop and evaluate a reidentification risk metric for the case where an intruder ...
Ordering information is a difficult but a important task for natural language generation applications. A wrong order of information not only makes it difficult to understand, but a...
Word segmentation is a critical stage towards word and character recognition as well as word spotting and mainly concerns two basic aspects, distance computation and gap classific...
The authors present a turbo soft-in soft-out (SISO) decoder based on Max-Log maximum a posteriori (ML-MAP) algorithm implemented with sliding window (SW) method. A novel technique...