Uni- and multimodal methods for single- and multi-label recognition

Author:

Ishikawa Satoru,Laaksonen Jorma

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference43 articles.

1. Arandjelović R, Zisserman A (2013) All about VLAD. IEEE conference on computer vision and pattern recognition

2. Bahrampour S, Nasrabadi NM, Ray A, Jenkins WK (2016) Multimodal task-driven dictionary learning for image classification. IEEE Trans Image Process 25 (1):24–38

3. Bhatia K, Jain H, Kar P, Varma M, Jain P (2015) Sparse local embeddings for extreme multi-label classification. In: Cortes C, Lawrence ND, Lee DD, Sugiyama M, Garnett R (eds) Advances in neural information processing systems 28. Curran Associates, Inc, pp 730–738. http://papers.nips.cc/paper/5969-sparse-local-embeddings-for-extreme-multi-label-classification.pdf

4. Bosch A, Zisserman A, Munoz X (2007) Representing shape with a spatial pyramid kernel Proceedings of ACM ICVR 2007, pp 401–408

5. Boyd-Graber JL, Blei DM (2009) Syntactic topic models Advances in neural information processing systems, pp 185–192

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