In this paper, we propose a support vector machine with automatic confidence (SVMAC) for pattern classification. The main contributions of this work to learning machines are twofold. One is that we develop an algorithm for calculating the label confidence value of each training sample. Thus, the lab
Automatic product image classification with multiple support vector machine classifiers
β Scribed by Shi-jie Jia; Xiang-wei Kong; Hong Man
- Book ID
- 107623966
- Publisher
- Chinese Electronic Periodical Services
- Year
- 2011
- Tongue
- English
- Weight
- 303 KB
- Volume
- 16
- Category
- Article
- ISSN
- 1007-1172
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
We present a general method for detecting balls in images at the aim of automatically detecting goals during a soccer match. The detector learns the object to detect by using a supervised learning scheme called Support Vector Machines, in which the examples are views of the object. Due to the attitu
Protein crystallography laboratories are performing an increasing number of experiments to obtain crystals of good diffraction quality. Better automation has enabled researchers to prepare and run more experiments in a shorter time. However, the problem of identifying which experiments are successfu