Hierarchical HMM (HHMM) parsers make promising cognitive models: while they use a bounded model of working memory and pursue incremental hypotheses in parallel, they still achieve...
Stephen Wu, Asaf Bachrach, Carlos Cardenas, Willia...
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
This paper introduces some new types of optical fault attacks called fault masking attacks. These attacks are aimed at disrupting of the normal memory operation through preventing ...
The Aging process is a non-reversible process, causing human face characteristics change with time as hair whitening, muscles drop and wrinkles. Recently, age estimation from faci...
We develop a widely applicable algorithm to solve the fault diagnosis problem in certain distributed-memory multiprocessor systems in which there are a limited number of faulty pr...