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» Support vector machine learning for image retrieval
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CVPR
2008
IEEE
14 years 10 months ago
Coherent image annotation by learning semantic distance
Conventional approaches to automatic image annotation usually suffer from two problems: (1) They cannot guarantee a good semantic coherence of the annotated words for each image, ...
Tao Mei, Yong Wang, Xian-Sheng Hua, Shaogang Gong,...
GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
14 years 2 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
PREMI
2007
Springer
14 years 2 months ago
Self Adaptable Recognizer for Document Image Collections
Abstract. This paper presents an architecture that enables the recognizer to learn incrementally and, thereby adapt to document image collections for performance improvement. We ar...
Million Meshesha, C. V. Jawahar
SIGIR
2004
ACM
14 years 1 months ago
On scaling latent semantic indexing for large peer-to-peer systems
The exponential growth of data demands scalable infrastructures capable of indexing and searching rich content such as text, music, and images. A promising direction is to combine...
Chunqiang Tang, Sandhya Dwarkadas, Zhichen Xu
ECML
2005
Springer
14 years 1 months ago
Rotational Prior Knowledge for SVMs
Incorporation of prior knowledge into the learning process can significantly improve low-sample classification accuracy. We show how to introduce prior knowledge into linear supp...
Arkady Epshteyn, Gerald DeJong