A Correlation Approach for Automatic Image Annotation

By David Roi Hardoon, Craig John Saunders, Sándor Szedmak, John Shawe-Taylor. 2006

53 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Molecular Biology

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Trevor Darrell
3. Xiaogang Wang
4. Li Fei-Fei
5. Yi Yang
6. Dacheng Tao
7. Alan L. Yuille
8. Chunhua Shen

In Molecular Biology

1. John Shawe-Taylor
2. David Roi Hardoon

Citations in the corpus

• Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics (2013, methodology): “Since bag-of-words representations have been successfully used for other tasks involving text and images (e.g., Grangier & Bengio, 2008; Hardoon et al., 2006), we include a basic bag of words kernel, which ignores word order and represents each caption simply as a vector of word frequencies.”
• Sparse canonical correlation analysis (2009, background): “Since the debut of CCA, a multitude of analyses, adaptations and applications have been proposed [13, 6, 7, 1, 5, 4, 2, 10, 11, 9, 18, 8].”
• A Survey of Multi-View Representation Learning (2016, unknown): “Consequently, a deep canonically correlated autoencoder (DCCAE) [20] is introduced through jointly optimizing the objectives of the deep CCA and the separate autoencoders from multiple views.”