A case report of 16 years female who reported to department with chief complaint of irregularly placed front teeth and an unpleasant smile. Patient was diagnosed with class II div 2 malocclusion with arch length discrepancy of 8.5 mm in maxilla with buccally placed maxillary canines. Molar distalization technique was planned using pendulum appliance. Molars were distalized by 5 mm in the right,...

We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable through a max function, in the place where algorithms such as sparse coding, independent component analysis, or non-negative matrix factorization would use a sum. This max rule can represent a more realistic model of non-...

We address an important deficiency in existing machine learning approaches for information extraction from natural language texts. Existing techniques for information extraction employ rules that exploit properties of consecutive word sequences. We argue that sequences of non-consecutive words capturing long range contextual correlations are vital features for information extraction from natura...

This paper proposes mining query subtopics from questions in community question answering (CQA). The subtopics are represented as a number of clusters of questions with keywords summarizing the clusters. The task is unique in that the subtopics from questions can not only facilitate user browsing in CQA search, but also describe aspects of queries from a question-answering perspective. The chal...

Aalesund University College (AAUC) is situated in an area of industry companies developing the most advanced equipment and procedures for safe ship operations. AAUC has established a close cooperation with these private technology developers for the purpose of joint research and testing in this field. This work deals with the design of tomorrow’s ship bridges. In the light of the bridge officer...

Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervised learning algorithm. That is to say, the classical NMF algorithm does not respect the class-specific information. This paper presents an improvement of the classical NMF approach by imposing Fisher constraints. This ...

In collaboration with local stakeholders, Frontier-Tanzania is collecting biophysical information to facilitate effective management initiatives for Misali Island, where marine resource management is currently limited to a 1.4-km non-extraction zone within a 21.6-km conservation area. In the study reported here, the extraction and non-extraction zones at Misali Island with similar substrata wer...