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  • Produktbild: Similarity Search and Applications
  • Produktbild: Similarity Search and Applications
Band 13590

Similarity Search and Applications 15th International Conference, SISAP 2022, Bologna, Italy, October 5–7, 2022, Proceedings

Aus der Reihe Lecture Notes in Computer Science

Fr. 72.90

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.09.2022

Abbildungen

XI, 305 p. 97 illus., 84 illus. in color.

Herausgeber

Tomáš Skopal + weitere

Verlag

Springer

Seitenzahl

305

Maße (L/B/H)

23.5/15.5/1.8 cm

Gewicht

487 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-17848-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.09.2022

Abbildungen

XI, 305 p. 97 illus., 84 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

305

Maße (L/B/H)

23.5/15.5/1.8 cm

Gewicht

487 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-3-031-17848-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Similarity Search and Applications
  • Produktbild: Similarity Search and Applications
  • Applications.-  Numerical Data Imputation: Choose KNN over Deep Learning.- COSINER: COntext SImilarity data augmentation for Named Entity Recognition.- An Application of Learned Multi-Modal Product Similarity to e-Commerce.- Deep Vision-Language Model for Efficient Multi-modal Similarity Search in Fashion Retrieval.- Stable Anchors for Matching Unlabelled Point Clouds.- Visual Exploration of Human Motion Data.-  Foundations.-  On Projections to Linear Subspaces.- Concept of Relational Similarity Search.- On the Expected Exclusion Power of Binary Partitions for Metric Search.- Similarity Search with the Distance Density Model.- Generalized Relative Neighborhood Graph (GRNG) for Similarity Search.- A Ptolemaic Partitioning Mechanism.- HubHSP graph: effective data sampling for pivot-based representation strategies.-  Indexing and Clustering.-  Compacted search tree for graph edit distance computation.- Clustering by Direct Optimization of the Medoid Silhouette.- Automatic Indexing for Similarity Search in ELKI.- Approximate Nearest Neighbor Search on Standard Search Engines.- Evaluation of LID-Aware Graph Embedding Methods for Node Clustering.- Similarity-based Unsupervised Evaluation of Outlier Detection.-  Learning.-  FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level.- Causal Disentanglement with Network Information for Debiased Recommendations.- Causal Disentanglement with Network Information for Debiased Recommendations.- Self-supervised Information Retrieval Trained from Self-generated Sets of Queries and Relevant Documents.-  Doctoral Symposium.-  Discovering Knowledge Graphs Via Attention-Driven Graph Generation.- Visual Recommendation and Visual Search for Fashion e-commerce.