We introduce a new interpretation for the biometric enrollment and identification paradigms and show how the problem of multiple hypothesis testing (HT) for arbitrarily varying sources (AVS) in a special case relates to it. The traditional studies on biometric systems from communication perspectives assume the noisy channel model. If suppose that the process of the biometric data enrollment for...

This paper presents a new principled approach to context-aware machine translation. The proposed approach reformulates the posterior probability of a translation hypothesis given the source input by incorporating the source-context information as an additional conditioning variable. As a result, a new model component, which is referred to as the context-awareness model, is added into the origin...

We combine two recent probabilistic approaches to natural language understanding, exploring the formal pragmatics of communication on a noisy channel. We first extend a model of rational communication between a speaker and listener, to allow for the possibility that messages are corrupted by noise. In this model, common knowledge of a noisy channel leads to the use and correct understanding of ...

Coda-wave interferometry is a technique to detect small seismic velocity changes using phase changes in similar waveforms from repeating natural or artificial sources. Seismic interferometry is another technique for detecting seismic velocity changes from cross-correlation functions of ambient seismic noise. We simultaneously use these two techniques to clarify seismic velocity changes at Sakur...

This paper proposes a weakly-supervised approach for extracting instances of semantic classes. This method constructs simple wrappers automatically based on specified seed instances and uses a compression model to assess the contextual evidence of its extraction. By adopting this compression model, our approach can better avoid erroneous extractions in a noisy corpus such as the Web. The empiri...

the edges of an image define the image boundary. when the image is noisy, it does not become easy to identify the edges. therefore, a method requests to be developed that can identify edges clearly in a noisy image. many methods have been proposed earlier using filters, transforms and wavelets with ant colony optimization (aco) that detect edges. we here used aco for edge detection of noisy ima...

The noisy channel model has been applied to a wide range of problems, including spelling correction. These models consist of two components: a source model and a channel model. Very little research has gone into improving the channel model for spelling correction. This paper describes a new channel model for spelling correction, based on generic string to string edits. Using this model gives si...

There are several methods offered for spelling correction in Farsi (Persian) Language. Unfortunately no powerful framework has been implemented because of lack of a large training set in Farsi as an accurate model. A training set consisting of erroneous and related correction string pairs have been obtained from a large number of instances of the books each of which were typed two times in Comp...

Multi-party local quantum operations with shared quantum entanglement or shared classical randomness are studied. The following facts are established: • There is a ball of local operations with shared randomness lying within the space spanned by the no-signalling operations and centred at the completely noisy channel. • The existence of the ball of local operations with shared randomness is emp...

We report on the TOR system that participated in the 2013 CoNLL shared task on grammatical correction. The system was a provisional implementation of a beam search correction over a noisy channel model. Although the results on the shared task test set were poor, the approach may still be promising, as there are many aspects of the current implementation that could be optimised. Grammatical corr...