Similarity search and applications =...
International Conference on Similarity Search and Applications (2024 :)

Linked to FindBook      Google Book      Amazon      博客來     
  • Similarity search and applications = 17th International Conference, SISAP 2024, Providence, RI, USA, November 4-6, 2024 : proceedings /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Similarity search and applications/ edited by Edgar Chávez ... [et al.].
    Reminder of title: 17th International Conference, SISAP 2024, Providence, RI, USA, November 4-6, 2024 : proceedings /
    remainder title: SISAP 2024
    other author: Chávez, Edgar.
    corporate name: International Conference on Similarity Search and Applications
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: xv, 302 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: Research Track. -- An Efficient Framework for Approximate Nearest Neighbor Search on High-dimensional Multi-metric Data. -- REHAB24-6: Physical Therapy Dataset for Analyzing Pose Estimation Methods. -- ETDD70: Eye-Tracking Dataset for Classification of Dyslexia using AI-based Methods. -- Demonstrating the Efficacy of Polyadic Queries. -- Scalable Polyadic Queries. -- A Dynamic Evaluation Metric for Feature Selection. -- Personalized Similarity Models for Evaluating Rehabilitation Exercises from Monocular Videos. -- Impact of the Neighborhood Parameter on Outlier Detection Algorithms. -- Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment. -- Bayesian Estimation Approaches for Local Intrinsic Dimensionality. -- Towards Personalized Similarity Search for Vector Databases. -- Information Dissimilarity Measures in Decentralized Knowledge Distillation: A Comparative Analysis. -- An Empirical Evaluation of Search Strategies for Locality-Sensitive Hashing: Lookup, Voting, and Natural Classifier Search. -- On the Design of Scalable Outlier Detection Methods using Approximate Nearest Neighbor Graphs. -- A Topological Evaluation Model for Manifold Learning and Embedding Techniques. -- Local Intrinsic Dimensionality and the Convergence Order of Fixed-Point Iteration. -- Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time Series. -- Robust Statistical Scaling of Outlier Scores: Improving the Quality of Outlier Probabilities for Outliers. -- Advancing the PAM Algorithm to Semi-Supervised k-Medoids Clustering. -- Hierarchical Clustering without Pairwise Distances by Incremental Similarity Search. -- Indexing Challenge. -- Overview of the SISAP 2024 Indexing Challenge. -- Scaling Learned Metric Index to 100M Datasets. -- Grouping Sketches to Index High-Dimensional Data in a Resource Limited Setting. -- Adapting the Exploration Graph for high throughput in low recall regimes. -- Top-Down Construction of Locally Monotonic Graphs for Similarity Search.
    Contained By: Springer Nature eBook
    Subject: Information retrieval - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-75823-2
    ISBN: 9783031758232
Location:  Year:  Volume Number: 
Items
  • 1 records • Pages 1 •
  • 1 records • Pages 1 •
Multimedia
Reviews
Export
pickup library
 
 
Change password
Login