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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

Semantic Scholar uses AI to extract papers important to this topic.
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… 
2011
2011
An efficient search method is desired for calligraphic characters due to the explosive growth of calligraphy works in digital… 
2010
2010
Similarity search (e.g., k-nearest neighbor search) in high-dimensional metric space is the key operation in many applications… 
Highly Cited
2009
Highly Cited
2009
The optical properties of an ordered array of gold nanospheres have been calculated using the T-matrix method in the regime where… 
Highly Cited
2009
Highly Cited
2009
Recent research studied the problem of publishing microdata without revealing sensitive information, leading to the privacy… 
2009
2009
Similarity search usually encounters a serious problem in the high-dimensional space, known as the "curse of dimensionality". In… 
2008
2008
This paper proposes an iDistance based interactive retrieval algorithm to accomplish semantic retrieval in visual surveillance… 
Highly Cited
2003
Highly Cited
2003
The notorious "dimensionality curse" is a well-known phenomenon for any multidimensional indexes attempting to scale up to high…