Automatic extraction of vertebra regions from a spinal magnetic resonance (MR) image is
normally required as the first step to an intelligent spinal MR image diagnosis system. In this …

In tall building construction with reinforced concrete structures, the appropriate selection of
the formwork method is a crucial factor in successful project completion. The selected …

Image annotation can be formulated as a classification problem. Recently, Adaboost
learning with feature selection has been used for creating an accurate ensemble classifier …

Relevance feedback (RF) is an effective approach to bridge the gap between low-level
visual features and high-level semantic meanings in content-based image retrieval (CBIR) …

In content-based image retrieval (CBIR), the gap between low-level visual features and high-
level semantic meanings usually leads to poor performance, and relevance feedback (RF) is …

Relevance feedback (RF) is an effective approach to bridge the gap between low-level
visual features and high-level semantic meanings in content-based image retrieval (CBIR) …

Relevance feedback has emerged as a powerful tool to boost the retrieval performance in
content-based image retrieval (CBIR). Support vector machine (SVM) active learning is one …

This paper presents a new algorithm named Kernel Bisecting k-means and Sample
Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability …

Behavioral finance is a relatively new and developing research field which adopts cognitive
psychology and emotional bias to explain the inefficient market phenomenon and some …

In this paper, we discuss and audio-visual approach to automatic web video categorization.
To this end, we propose content descriptors which exploit audio, temporal, and color …