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L q dimensions and projections of random measures
(IOP Publishing, 2016-07)
We prove preservation of L q dimensions (for 1 < q ≤ 2) under all orthogonal projections for a class of random measures on the plane, which includes(deterministic) homogeneous self-similar measures and a well-known familyof ...
On Furstenberg's intersection conjecture, self-similar measures, and the Lq norms of convolutions
(Annal Mathematics, 2019-03)
We study a class of measures on the real line with a kind of self-similar structure, which we call dynamically driven self-similar measures, and contain proper self-similar measures such as Bernoulli convolutions as special ...
Cosine Similarity Based Hierarchical Skeleton and Cross Indexing for Large Scale Image Retrieval Using Mapreduce Framework
The imaging data in various fields like industries, institutions, medical, and so on has grown exponentially in recent years. An innovative software solution is required for the efficient management of image data. The ...
Theta-fuzzy Associative Memories (theta-fams)
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2015)
Wavelet-based fingerprint image retrieval
(Scopus, 2009)
This paper presents a novel approach for personal identification based on a wavelet-based fingerprint retrieval system which encompasses three image retrieval tasks, namely, feature extraction, similarity measurement, and ...
Relational Agreement Measures for Similarity Searching of Cheminformatic Data Sets
(Institute of Electrical and Electronics Engineers Inc., 2016)
Research on similarity searching of cheminformatic data sets has been focused on similarity measures using fingerprints. However, nominal scales are the least informative of all metric scales, increasing the tied similarity ...
Algorithmic computation and approximation of semantic similarity
(Springer, 2006-06-08)
Automatic extraction of semantic information from text and links in Web pages is key to improving the quality of search results. However, the assessment of automatic semantic measures is limited by the coverage of user ...
Multiple-Aspect Trajectory Similarity Measuring
(Florianópolis, SC., 2019)
The Positive Matching Index: A new similarity measure with optimal characteristics
(Elsevier Science, 2010-09)
Despite the many coefficients accounting for the resemblance between pairs of objects based on presence/absence data, no one measure shows optimal characteristics. In this work the Positive Matching Index (PMI) is proposed ...
Clustering algorithm based on asymmetric similarity and paradigmatic features
(Inderscience Enterprises Ltd., 2016)
Similarity measures are essential to solve many pattern recognition problems such as classification, clustering, and information retrieval. Various similarity measures are categorised in both syntactic and semantic ...