Displaying similar documents to “Partially persistent search trees with transcript operations.”

Multidimensional term indexing for efficient processing of complex queries

Michal Krátký, Tomáš Skopal, Václav Snášel (2004)

Kybernetika

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The area of Information Retrieval deals with problems of storage and retrieval within a huge collection of text documents. In IR models, the semantics of a document is usually characterized using a set of terms. A common need to various IR models is an efficient term retrieval provided via a term index. Existing approaches of term indexing, e. g. the inverted list, support efficiently only simple queries asking for a term occurrence. In practice, we would like to exploit some more sophisticated...

On a matching distance between rooted phylogenetic trees

Damian Bogdanowicz, Krzysztof Giaro (2013)

International Journal of Applied Mathematics and Computer Science

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The Robinson-Foulds (RF) distance is the most popular method of evaluating the dissimilarity between phylogenetic trees. In this paper, we define and explore in detail properties of the Matching Cluster (MC) distance, which can be regarded as a refinement of the RF metric for rooted trees. Similarly to RF, MC operates on clusters of compared trees, but the distance evaluation is more complex. Using the graph theoretic approach based on a minimum-weight perfect matching in bipartite graphs,...

Classification of Paintings by Artist, Movement, and Indoor Setting Using MPEG-7 Descriptor Features

Welch, Charles (2014)

Serdica Journal of Computing

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ACM Computing Classification System (1998): I.4.9, I.4.10. Image classification is an essential problem for content based image retrieval and image processing. Visual properties can be extracted from images in the form of MPEG-7 descriptors. Statistical methods can use these properties as features and be used to derive an effective method of classifying images by evaluating a minimal number of properties used in the MPEG-7 descriptor. Classification by artist, artistic movement,...