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IDistance

Known as: The iDistance Indexing Technique, The iDistance Technique 
In pattern recognition, the iDistance is an indexing and query processing technique for k-nearest neighbor queries on point data in multi-dimensional… 
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Papers overview

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2018
2018
Comparing regions of images is a fundamental task in both similarity based object tracking as well as retrieval of images from… 
2017
2017
Nearest neighbor (NN) search in high-dimensional space plays a fundamental role in large-scale image retrieval. It seeks… 
2015
2015
This paper explores the differences in the quality perception of coffee among different participants in the supply chain… 
2014
2014
This thesis presents new methods for classification and thematic grouping of billions of web pages, at scales previously not… 
2013
2013
Efficient database indexing and information retrieval tasks such as k-nearest neighbor (kNN) search still remain difficult… 
2013
2013
The most common approach to improve performance for databases is through indexing. Mapping based approach is an easy to implement… 
2011
2011
An efficient search method is desired for calligraphic characters due to the explosive growth of calligraphy works in digital… 
2009
2009
Similarity search usually encounters a serious problem in the high-dimensional space, known as the "curse of dimensionality". In… 
2009
2009
It is often very difficult to rank entities characterized by more than one indicator. In the case of banking sector, especially… 
Highly Cited
2004
Highly Cited
2004
The effectiveness of many existing high-dimensional indexing structures is limited to specific types of queries and workloads…