Slim-Trees: High Performance Metric Trees Minimizing Overlap Between Nodes

By Caetano Traina Jr., Agma Juci Machado Traina, Bernhard Seeger, Christos Faloutsos. International Conference on Extending Database Technology, 2000

311 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/91dd35ffc3a08d1f1c9a9c13d64130546107d94b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Kian-Lee Tan
2. Hosagrahar Visvesvaraya Jagadish
3. Beng Chin Ooi
4. Rui Zhang
5. Cui Yu
6. Xi Victoria Lin

In Computer Vision and Pattern Recognition

1. Hosagrahar Visvesvaraya Jagadish
2. Beng Chin Ooi
3. Rui Zhang

In Signal Processing

1. Beng Chin Ooi
2. Kian-Lee Tan
3. Hosagrahar Visvesvaraya Jagadish
4. Rui Zhang
5. Cui Yu

Citations in the corpus

• iDistance: An adaptive B+-tree based indexing method for nearest neighbor search (2005, methodology): “Indexes have also been specifically designed to facilitate metric based query processing [Bozkaya and Ozsoyoglu 1997; Ciaccia et al. 1997; Traina et al. 2000; Filho et al. 2001].”