Fast multiscale clustering and manifold identification

By Dan Kushnir, Meirav Galun, Achi Brandt. 2006

98 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Representation & Self-Supervised Learning

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. Achi Brandt
2. Meirav Galun
3. Dan Kushnir

In Computational Theory and Mathematics

1. Achi Brandt
2. Dan Kushnir
3. Meirav Galun

In Computer Vision and Pattern Recognition

1. Meirav Galun
2. Dan Kushnir
3. Achi Brandt
4. João Carreira
5. Cristian Sminchisescu
6. Jitendra Malik
7. Ming-Hsuan Yang
8. Huchuan Lu

In Representation & Self-Supervised Learning

1. Achi Brandt
2. Dan Kushnir
3. Meirav Galun

Citations in the corpus

• Relaxation-based coarsening and multiscale graph organization (2010, unknown): “As pointed out in the discussion of multiscale distances, this can yield not just faster solutions but also, and more important, better definitions and more tunable treatments for many practical problems.”
• Efficient Multilevel Eigensolvers with Applications to Data Analysis Tasks (2010, methodology): “The computational bottleneck of computing the eigenvectors has been a motivation for several related multilevel approaches, e.g., [ 1 ], [2], [11], [12], [18], [35].”