Xi Liu

According to our database1, Xi Liu authored at least 14 papers between 2009 and 2014.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2014
A co-boost framework for learning object categories from Google Images with 1st and 2nd order features.
Vis. Comput., 2014

2013
Exploit Spatial Relationships among Pixels for Saliency Region Detection Using Topic Model.
Proceedings of the Advances in Multimedia Modeling, 19th International Conference, 2013

2012
A feature binding computational model for multi-class object categorization and recognition.
Neural Comput. Appl., 2012

Extracting discriminative features for CBIR.
Multim. Tools Appl., 2012

Multi-label Image Annotation Based on Neighbor Pair Correlation Chain.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

2011
Modeling continuous visual features for semantic image annotation and retrieval.
Pattern Recognit. Lett., 2011

2010
Fusing semantic aspects for image annotation and retrieval.
J. Vis. Commun. Image Represent., 2010

Sorted label classifier chains for learning images with multi-label.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

A novel sparse coding model based on structural similarity.
Proceedings of the IEEE International Conference on Acoustics, 2010

Automatic image annotation with continuous PLSA.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Coboost learning of visual categories with 1st and 2nd order features from Google images.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Filter object categories: employing visual consistency and semisupervised approach.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

Learning image semantics with latent aspect model.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

Filter object categories using CoBoost with 1<sup>ST</sup> and 2<sup>ND</sup> order features.
Proceedings of the International Conference on Image Processing, 2009


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