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Extending the keyword search paradigm to relational data has been an active area of research within the database and IR community during the past decade. Many approaches have been proposed, but despite numerous publications, there remains a severe lack of standardization for the evaluation of proposed search techniques. Lack of standardization has resulted in contradictory results from different evaluations,...
We have previously proposed a multiple-view, densely-sampled, bag-of-visual features algorithm for shape-based 3D model retrieval. The method achieved good retrieval performance for moderately sized benchmark datasets (~1,000 3D models), including both rigid and articulated 3D shapes. It is also much faster than the other methods having similar retrieval performance. However, the method does not exploit...
Expansion of IT applications creates serious needs for environments with huge storage. In storage systems, capacity and agility are two factors which face limitations. This article evaluates the role of different techniques with regard to the possible methods for accessing to the storage systems. We have prepared three different scenarios using direct, semi-virtual, and virtual attachment models....
This paper investigates the capabilities of the Bag-of-Words (BW) method in the 3D shape retrieval field. The contributions of this paper are: 1) the 3D shape retrieval task is categorized from different points of view: specific vs. generic, partial-to-global (PG) vs. global-to-global (GG) retrieval, and articulated vs. non-articulated; 2) The spatial information, which is represented as concentric...
In this paper, we consider the performance of object retrieval in electronic documents and records management (EDRM) systems. In such systems, general object sizes (images, documents, audio and video files, etc.) may have a high variance. In practice, these systems have to cope with escalating number of large objects. This causes additional pressure on the underlying mechanisms to maintain an adequate...
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