Titlebook: Information Retrieval Technology; 10th Asia Informatio Azizah Jaafar,Nazlena Mohamad Ali,Tengku Mohd Teng Conference proceedings 2014 Sprin

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Haochen Zhang,Min-Yen Kan,Yiqun Liu,Shaoping Ma, commerce, and investment. The resolution of a dispute by means of international arbitration provides the parties with an opportunity to resolve their disputes in a private, confidential, cost and time efficient manner before a neutral tribunal of their choice. However, challenges to arbitral juris

敵手

Quan Wang,Jun Xu,Hang Li, commerce, and investment. The resolution of a dispute by means of international arbitration provides the parties with an opportunity to resolve their disputes in a private, confidential, cost and time efficient manner before a neutral tribunal of their choice. However, challenges to arbitral juris

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S. Domnic,V. Gloryiors, which might be thought peripheral but can be shown to be crucial evidence for the interpretation of intent and consent.. In some cases, deponents did not detail the specific behaviors. Ann Hewse, for instance, testified that Edmund Ellice “made greate meanes to obteyne … [Margaret’s] love in t

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Leveraging Deletion Neighborhoods and Trie for Efficient String Similarity Search and Join high complexity of deletion neighborhoods, existing methods resort to hashing schemes to achieve reduction in space requirement of the index. However the introduced hash collisions need to be verified by the costly edit distance computation. In this paper, we focus on achieving a faster query speed

CHYME

Content-Based Medical Image Retrieval System for Infections and Fluids in Chest Radiographsists in healthcare by providing pertinent supporting evidence from previous cases. It is also useful for the junior radiologists and medical students as teaching aid and training mechanism. The system is tested to retrieve the infections and fluid cases in chest radiographs. We explored several feat

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Query Ambiguity Identification Based on User Behavior Informationm existing solutions which usually require a supervised topic classification process, we propose a query ambiguity identification framework which takes user behavior features collected from click-through logs into consideration. Especially, besides the features collected from query level, we focus o