Searching in metric spaces

E Chávez, G Navarro, R Baeza-Yates… - ACM computing surveys …, 2001 - dl.acm.org
The problem of searching the elements of a set that are close to a given query element
under some similarity criterion has a vast number of applications in many branches of …

Vehicle trajectory similarity: Models, methods, and applications

RSD Sousa, A Boukerche, AAF Loureiro - ACM Computing Surveys …, 2020 - dl.acm.org
The increasing availability of vehicular trajectory data is at the core of smart mobility
solutions. Such data offer us unprecedented information for the development of trajectory …

[HTML][HTML] Comprehensive comparative study of multi-label classification methods

J Bogatinovski, L Todorovski, S Džeroski… - Expert Systems with …, 2022 - Elsevier
Multi-label classification (MLC) has recently attracted increasing interest in the machine
learning community. Several studies provide surveys of methods and datasets for MLC, and …

[图书][B] A probabilistic theory of pattern recognition

L Devroye, L Györfi, G Lugosi - 2013 - books.google.com
Pattern recognition presents one of the most significant challenges for scientists and
engineers, and many different approaches have been proposed. The aim of this book is to …

[图书][B] Statistical pattern recognition

AR Webb - 2003 - books.google.com
Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …

[PDF][PDF] Using the triangle inequality to accelerate k-means

C Elkan - Proceedings of the 20th international conference on …, 2003 - cdn.aaai.org
The¡-means algorithm is by far the most widely used method for discovering clusters in data.
We show how to accelerate it dramatically, while still always computing exactly the same …

Efficient k-nearest neighbor search based on clustering and adaptive k values

AJ Gallego, JR Rico-Juan, JJ Valero-Mas - Pattern recognition, 2022 - Elsevier
Abstract The k-Nearest Neighbor (k NN) algorithm is widely used in the supervised learning
field and, particularly, in search and classification tasks, owing to its simplicity, competitive …

[图书][B] Similarity search: the metric space approach

P Zezula, G Amato, V Dohnal, M Batko - 2006 - books.google.com
The area of similarity searching is a very hot topic for both research and c-mercial
applications. Current data processing applications use data with c-siderably less structure …

[图书][B] Multisensor data fusion

D Hall, J Llinas - 2001 - taylorfrancis.com
The emerging technology of multisensor data fusion has a wide range of applications, both
in Department of Defense (DoD) areas and in the civilian arena. The techniques of …

Neighborhood classifiers

Q Hu, D Yu, Z Xie - Expert systems with applications, 2008 - Elsevier
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition
and machine learning, however, as a similar lazy classifier using local information for …