In object classification, feature combination can usually be used to combine the strength of
multiple complementary features and produce better classification results than any single …

The frequent growth of visual data, either by countless monitoring video cameras wherever
we go or the popularization of mobile devices that allow each person to create and edit their …

Feature combination is a popular method for improving object classification performances. In
this paper we present a simple and effective weighting scheme for feature combination …

The efficiency in image classification tasks can be improved using combined information
provided by several sources, such as shape, color, and texture visual properties. Although …

Based on a graph‐theoretic concept of a cluster, dominant sets clustering has been shown
to be an attractive clustering algorithm with many useful properties. In this study, the authors …

In this paper, we deal with the descriptor combination problem in image classification tasks.
This problem refers to the definition of an appropriate combination of image content …

Classifier combination is used in object classification to combine the strength of multiple
complementary classifiers and yield better performance than any single classifier. While …

Codebook is an effective image representation method. By clustering in local image
descriptors, a codebook is shown to be a distinctive image feature and widely applied in …

Salient feature extraction is an important task in image classification and recognition.
Although classification techniques focus on the bright part of an image, many pixels of the …

Feature combination is a powerful approach to improve object classification performance.
While various combination algorithms have been proposed, average combination is almost …