Numerical recipes: the art of scientific computing
Numerical recipes: the art of scientific computing
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Efficient and effective querying by image content
Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
ACM Computing Surveys (CSUR)
Spatial Color Indexing and Applications
International Journal of Computer Vision
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Shape and topology constraints on parametric active contours
Computer Vision and Image Understanding
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Efficient Color Histogram Indexing for Quadratic Form Distance Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
An introduction to variable and feature selection
The Journal of Machine Learning Research
Dimensionality reduction via sparse support vector machines
The Journal of Machine Learning Research
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Intelligent Computing Techniques: A Review
Intelligent Computing Techniques: A Review
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Image Categorization by Learning and Reasoning with Regions
The Journal of Machine Learning Research
Efficient Feature Selection via Analysis of Relevance and Redundancy
The Journal of Machine Learning Research
Signal Processing - Special section on content-based image and video retrieval
On the Euclidean Distance of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A statistical framework for genomic data fusion
Bioinformatics
MILES: Multiple-Instance Learning via Embedded Instance Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
HiPeR: Hierarchical progressive exact retrieval in multi dimensional spaces
ICDEW '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering Workshop
IEEE Transactions on Circuits and Systems for Video Technology
An overview of statistical learning theory
IEEE Transactions on Neural Networks
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Automatic heterogeneous image recognition is a challenging research topic in computer vision. In fact, a general purpose images require multiple descriptors to cover their diverse category contents. However, not all extracted features are always relevant. Furthermore, simply concatenating multiple features may not be efficient for recognizing images in heterogeneous databases. In this context, we propose a new heterogeneous image recognition system, which aims to enhance the recognition results while decreasing the computational complexity. In particular, the proposed system is based on two complementary methods: adaptive relevant feature selection and multi-model classification method (MM-CM). Since it employs hierarchically selected features, the MM-CM ensures better classification accuracy and significantly less computation time than existing classification methods. The performance of the proposed image recognition system is assessed through two image databases and a large number of features. A comparison with competing algorithms from the literature is also provided. Our extensive experimental results show that an adaptive feature selection based MM-CM outperforms existing methods and improves the classification results in heterogeneous image databases.