| TÃtulo : |
13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 – October 2, 2020, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Satoh, Shin'ichi, ; Vadicamo, Lucia, ; Zimek, Arthur, ; Carrara, Fabio, ; Bartolini, Ilaria, ; Aumüller, Martin, ; Jónsson, Björn Þór, ; Pagh, Rasmus, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2020 |
| Número de páginas: |
XIX, 414 p. 210 ilustraciones, 104 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-60936-8 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Idioma : |
Inglés (eng) |
| Palabras clave: |
Sistemas de almacenamiento y recuperación de información. Inteligencia artificial Software de la aplicacion Gestión de base de datos Procesamiento de datos Informática Almacenamiento y recuperación de información Aplicaciones informáticas y de sistemas de información MinerÃa de datos y descubrimiento de conocimientos Matemáticas de la Computación |
| Clasificación: |
025.04 |
| Resumen: |
Este libro constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Búsqueda y Aplicaciones de Similitudes, SISAP 2020, celebrada en Copenhague, Dinamarca, en septiembre/octubre de 2020. La conferencia se celebró virtualmente debido a la pandemia de COVID-19. Los 19 artÃculos completos presentados junto con 12 artÃculos breves y 2 artÃculos de simposio doctoral fueron cuidadosamente revisados ​​y seleccionados entre 50 presentaciones. Los artÃculos están organizados en secciones temáticas denominadas: búsqueda de similitud escalable; medidas de similitud, búsqueda e indexación; datos de alta dimensión y dimensionalidad intrÃnseca; agrupamiento; inteligencia artificial y similitud; documentos de demostración y posición; y simposio doctoral. |
| Nota de contenido: |
Scalable Similarity Search -- Accelerating Metric Filtering by Improving Bounds on Estimated Distances -- Differentially Private Sketches for Jaccard Similarity Estimation -- Pivot Selection for Narrow Sketches by Optimization Algorithms -- mmLSH: A Practical and Efficient Technique for Processing Approximate Nearest Neighbor Queries on Multimedia Data -- Parallelizing Filter-Verification based Exact Set Similarity Joins on Multicores -- Similarity Search with Tensor Core Units -- On the Problem of p1 in Locality-Sensitive Hashing -- Similarity Measures, Search, and Indexing -- Confirmation Sampling for Exact Nearest Neighbor Search -- Optimal Metric Search Is Equivalent to the Minimum Dominating Set Problem -- Metrics and Ambits and Sprawls, Oh My: Another Tutorial on Metric Indexing -- Some branches may bear rotten fruits: Diversity browsing VP-Trees -- Continuous Similarity Search for Evolving Database -- Taking advantage of highly-correlated attributes in similarity queries with missing values -- Similarity Between Points in Metric Measure Spaces -- High-dimensional Data and Intrinsic Dimensionality -- GTT: Guiding the Tensor Train Decomposition -- Noise Adaptive Tensor Train Decomposition for Low-Rank Embedding of Noisy Data -- ABID: Angle Based Intrinsic Dimensionality -- Sampled Angles in High-Dimensional Spaces -- Local Intrinsic Dimensionality III: Density and Similarity -- Analysing Indexability of Intrinsically High-dimensional Data using TriGen -- Reverse k-Nearest Neighbors Centrality Measures and Local Intrinsic Dimension -- Clustering -- BETULA: Numerically Stable CF-Trees for BIRCH Clustering -- Using a Set of Triangle Inequalities to Accelerate K-means Clustering -- Angle-Based Clustering -- Artificial Intelligence and Similarity -- Improving Locality Sensitive Hashing by Efficiently Finding Projected Nearest Neighbors -- SIR: Similar Image Retrieval for Product Search in E-Commerce -- Cross-Resolution deep features based Image Search -- LearningDistance Estimators from Pivoted Embeddings of Metric Objects -- Demo and Position Papers -- Visualizer of Dataset Similarity using Knowledge Graph -- vitrivr-explore: Guided Multimedia Collection Exploration for Ad-hoc Video Search -- Running experiments with confidence and sanity -- Doctoral Symposium -- Temporal Similarity of Trajectories in Graphs -- Relational Visual-Textual Information Retrieval. |
| Tipo de medio : |
Computadora |
| Summary : |
This book constitutes the refereed proceedings of the 13th International Conference on Similarity Search and Applications, SISAP 2020, held in Copenhagen, Denmark, in September/October 2020. The conference was held virtually due to the COVID-19 pandemic. The 19 full papers presented together with 12 short and 2 doctoral symposium papers were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections named: scalable similarity search; similarity measures, search, and indexing; high-dimensional data and intrinsic dimensionality; clustering; artificial intelligence and similarity; demo and position papers; and doctoral symposium. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 – October 2, 2020, Proceedings [documento electrónico] / Satoh, Shin'ichi, ; Vadicamo, Lucia, ; Zimek, Arthur, ; Carrara, Fabio, ; Bartolini, Ilaria, ; Aumüller, Martin, ; Jónsson, Björn Þór, ; Pagh, Rasmus, . - 1 ed. . - [s.l.] : Springer, 2020 . - XIX, 414 p. 210 ilustraciones, 104 ilustraciones en color. ISBN : 978-3-030-60936-8 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés ( eng)
| Palabras clave: |
Sistemas de almacenamiento y recuperación de información. Inteligencia artificial Software de la aplicacion Gestión de base de datos Procesamiento de datos Informática Almacenamiento y recuperación de información Aplicaciones informáticas y de sistemas de información MinerÃa de datos y descubrimiento de conocimientos Matemáticas de la Computación |
| Clasificación: |
025.04 |
| Resumen: |
Este libro constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Búsqueda y Aplicaciones de Similitudes, SISAP 2020, celebrada en Copenhague, Dinamarca, en septiembre/octubre de 2020. La conferencia se celebró virtualmente debido a la pandemia de COVID-19. Los 19 artÃculos completos presentados junto con 12 artÃculos breves y 2 artÃculos de simposio doctoral fueron cuidadosamente revisados ​​y seleccionados entre 50 presentaciones. Los artÃculos están organizados en secciones temáticas denominadas: búsqueda de similitud escalable; medidas de similitud, búsqueda e indexación; datos de alta dimensión y dimensionalidad intrÃnseca; agrupamiento; inteligencia artificial y similitud; documentos de demostración y posición; y simposio doctoral. |
| Nota de contenido: |
Scalable Similarity Search -- Accelerating Metric Filtering by Improving Bounds on Estimated Distances -- Differentially Private Sketches for Jaccard Similarity Estimation -- Pivot Selection for Narrow Sketches by Optimization Algorithms -- mmLSH: A Practical and Efficient Technique for Processing Approximate Nearest Neighbor Queries on Multimedia Data -- Parallelizing Filter-Verification based Exact Set Similarity Joins on Multicores -- Similarity Search with Tensor Core Units -- On the Problem of p1 in Locality-Sensitive Hashing -- Similarity Measures, Search, and Indexing -- Confirmation Sampling for Exact Nearest Neighbor Search -- Optimal Metric Search Is Equivalent to the Minimum Dominating Set Problem -- Metrics and Ambits and Sprawls, Oh My: Another Tutorial on Metric Indexing -- Some branches may bear rotten fruits: Diversity browsing VP-Trees -- Continuous Similarity Search for Evolving Database -- Taking advantage of highly-correlated attributes in similarity queries with missing values -- Similarity Between Points in Metric Measure Spaces -- High-dimensional Data and Intrinsic Dimensionality -- GTT: Guiding the Tensor Train Decomposition -- Noise Adaptive Tensor Train Decomposition for Low-Rank Embedding of Noisy Data -- ABID: Angle Based Intrinsic Dimensionality -- Sampled Angles in High-Dimensional Spaces -- Local Intrinsic Dimensionality III: Density and Similarity -- Analysing Indexability of Intrinsically High-dimensional Data using TriGen -- Reverse k-Nearest Neighbors Centrality Measures and Local Intrinsic Dimension -- Clustering -- BETULA: Numerically Stable CF-Trees for BIRCH Clustering -- Using a Set of Triangle Inequalities to Accelerate K-means Clustering -- Angle-Based Clustering -- Artificial Intelligence and Similarity -- Improving Locality Sensitive Hashing by Efficiently Finding Projected Nearest Neighbors -- SIR: Similar Image Retrieval for Product Search in E-Commerce -- Cross-Resolution deep features based Image Search -- LearningDistance Estimators from Pivoted Embeddings of Metric Objects -- Demo and Position Papers -- Visualizer of Dataset Similarity using Knowledge Graph -- vitrivr-explore: Guided Multimedia Collection Exploration for Ad-hoc Video Search -- Running experiments with confidence and sanity -- Doctoral Symposium -- Temporal Similarity of Trajectories in Graphs -- Relational Visual-Textual Information Retrieval. |
| Tipo de medio : |
Computadora |
| Summary : |
This book constitutes the refereed proceedings of the 13th International Conference on Similarity Search and Applications, SISAP 2020, held in Copenhagen, Denmark, in September/October 2020. The conference was held virtually due to the COVID-19 pandemic. The 19 full papers presented together with 12 short and 2 doctoral symposium papers were carefully reviewed and selected from 50 submissions. The papers are organized in topical sections named: scalable similarity search; similarity measures, search, and indexing; high-dimensional data and intrinsic dimensionality; clustering; artificial intelligence and similarity; demo and position papers; and doctoral symposium. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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