$\ell_{p}-\ell_{q}$ Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning

By Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Stéphane Canu. 2011

94 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Mechanics of Materials

How researchers see this paper

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

In Computational Mechanics

1. Francis R. Bach
2. Alain Rakotomamonjy
3. Qingxiong Yang
4. Hachem Kadri
5. Gang Wang
6. Tian-Tsong Ng
7. Amir Shahroudy
8. Philippe Preux

In Computer Vision and Pattern Recognition

1. Amir Shahroudy
2. G. Wang
3. Jun Liu
4. Hossein Rahmani
5. Tian-Tsong Ng
6. Gang Wang
7. Ajmal Saeed Mian
8. Francis R. Bach

In Mechanics of Materials

1. Francis R. Bach

Citations in the corpus

• Multimodal Multipart Learning for Action Recognition in Depth Videos (2015, background): “It is already known that the behavior of L norm for p > 2 rapidly moves towards L∞ [41]; since L∞ is not easy to optimize directly, we picked L as the most efficient approximation of it.”
• Multiple Operator-valued Kernel Learning (2012, methodology): “The proof is actually an extension of results obtained by [2] and [24] for scalar-valued kernels.”