Results 231 to 240 of about 32,237 (256)
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Reverse engineering the way humans rank textures
Pattern Analysis and Applications, 2006We argue that in order to understand which features are used by humans to group textures, one must start by computing thousands of features of diverse nature, and select from those features those that allow the reproduction of perceptual groups or perceptual ranking created by humans. We use the Trace transform to produce such features here. We compare
Petrou, M. +2 more
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The Prediction of Rank Reversal in TOPSIS
EximiaThe rank reversal (RR) problem occurs in that rank the all-around performance (benefit or cost) of some alternatives represented with respect to rivaling criteria. The RR in the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) occurs less than other multi-criteria decision-making (MCDM) methods. We analyze the RR of simplified
null Yensen Ni, null Hung-Ching Hu
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Efficient Processing of Aggregate Reverse Rank Queries
2017Given two data sets of user preferences and product attributes in addition to a set of query products, the aggregate reverse rank (ARR) query returns top-k users who regard the given query products as the highest aggregate rank than other users.
Yuyang Dong +3 more
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Bichromatic Reverse Ranking Query in Two Dimensions
2013Capturing potential customers for a given product based on individual preferences is very important in many personalized applications. Reverse ranking queries are widely employed in this scenario from the perspective of product in database community.
Zhao Zhang 0009 +3 more
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Reverse mathematics and rank functions for directed graphs
Archive for Mathematical Logic, 2000This paper is part of the program of reverse mathematics [see \textit{S. G. Simpson}, Subsystems of second order arithmetic (Springer, Berlin) (1999; Zbl 0909.03048) for an introduction to this subject] and deals with existence and uniqueness of rank functions for directed graphs.
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Reverse k-Ranks Queries on Large Graphs.
2017published_or_final_version
Mamoulis, N +4 more
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RADAR: Fast Approximate Reverse Rank Queries
2020Reverse k-rank queries, for a given query item, extract the top-k users whose ranking of the item (based on individual user’s preferences) is best among all the users. Such queries have recently received significant interest in diverse applications like market analysis, product placement, sales and e-commerce.
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Supplier selection with rank reversal in public tenders
Journal of Purchasing and Supply Management, 2022Fredo Schotanus, Jan Telgen
exaly

