An automatic tool is developed to identify microbiological data types using computer-vision and statistical modeling techniques. In bacteriophage (phage) typing, representative pro...
Data sparseness is one of the factors that degrade statistical machine translation (SMT). Existing work has shown that using morphosyntactic information is an effective solution t...
Abstract: Biometric identification and verification technologies, in the past, have promised high performance levels. Such performance statements lead to the assumption, that these...
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
— Wireless sensor networks have been deployed for various critical monitoring applications in hostile environments such as monitoring the concentration levels of hazardous gas sp...