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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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Related topics
Related topics
4 relations
B+ tree
Cluster analysis
Curse of dimensionality
Pattern recognition
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Sparse Coding for Event Tracking and Image Retrieval
Dustin J. Kempton
2018
Corpus ID: 70086380
Comparing regions of images is a fundamental task in both similarity based object tracking as well as retrieval of images from…
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2017
2017
Effective optimizations of cluster-based nearest neighbor search in high-dimensional space
Xiaokang Feng
,
Jiangtao Cui
,
Yingfan Liu
,
Hui Li
Multimedia Systems
2017
Corpus ID: 32981160
Nearest neighbor (NN) search in high-dimensional space plays a fundamental role in large-scale image retrieval. It seeks…
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2015
2015
A New Perspective on Quality Characteristics Determining Supply Chain Management of Coffee Production
A. Horvat
,
Slobodanka Antić
,
V. Jeremic
2015
Corpus ID: 59031908
This paper explores the differences in the quality perception of coffee among different participants in the supply chain…
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2014
2014
Document clustering algorithms, representations and evaluation for information retrieval
D. Vries
,
M. Christopher
2014
Corpus ID: 43886121
This thesis presents new methods for classification and thematic grouping of billions of web pages, at scales previously not…
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2013
2013
A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing
M. Schuh
,
Tim Wylie
,
J. Banda
,
R. Angryk
British National Conference on Databases
2013
Corpus ID: 18712647
Efficient database indexing and information retrieval tasks such as k-nearest neighbor (kNN) search still remain difficult…
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2013
2013
A Mapping Based Approach for Multidimensional Data Indexing
Rui Zhang
2013
Corpus ID: 15834545
The most common approach to improve performance for databases is through indexing. Mapping based approach is an easy to implement…
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2011
2011
Efficient shape matching for Chinese calligraphic character retrieval
Weiming Lu
,
Jiangqin Wu
,
Baogang Wei
,
Yueting Zhuang
Journal of Zhejiang University SCIENCE C
2011
Corpus ID: 10732155
An efficient search method is desired for calligraphic characters due to the explosive growth of calligraphy works in digital…
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2009
2009
General Cost Models for Evaluating Dimensionality Reduction in High-Dimensional Spaces
Xiang Lian
,
Lei Chen
IEEE Transactions on Knowledge and Data…
2009
Corpus ID: 17759170
Similarity search usually encounters a serious problem in the high-dimensional space, known as the "curse of dimensionality". In…
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2009
2009
RANKING OF BANKS IN SERBIA1
Nevena Mihailovi
2009
Corpus ID: 59480180
It is often very difficult to rank entities characterized by more than one indicator. In the case of banking sector, especially…
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Highly Cited
2004
Highly Cited
2004
Making the pyramid technique robust to query types and workloads
Rui Zhang
,
B. Ooi
,
K. Tan
Proceedings / International Conference on Data…
2004
Corpus ID: 7607256
The effectiveness of many existing high-dimensional indexing structures is limited to specific types of queries and workloads…
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