Name
Title | ||
|---|---|---|
Semi-supervised Bi-dictionary Learning Using Smooth Representation-Based Label Propagation |
Abstract | ||
|---|---|---|
Due to heavy clutters and occlusions of complex background, natural images contain complex features in data structure which often cause errors in image classification. In this paper, we propose semi-supervised bi-dictionary learning for image classification with smooth representation-based label propagation (SRLP) which extends reconstruction-based classification in a probabilistic manner. First, we jointly learn a discriminative dictionary in the feature space and its corresponding soft label in the label space. Then, we utilize the learnt bi-dictionary in image classification based on SRLP. Experimental results demonstrate that the proposed SRLP is capable of learning the discriminative bi-dictionary for image classification and outperforms the-state-of-the-art reconstruction-based classification methods. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/CyberC.2015.94 | CyberC |
Keywords | Field | DocType |
Bi-dictionary learning,image classification,label propagation,semantic gap,semi-supervised learning,smooth representation | Iterative reconstruction,Computer vision,Feature vector,Semi-supervised learning,Pattern recognition,Computer science,Support vector machine,Feature extraction,Artificial intelligence,Probabilistic logic,Contextual image classification,Discriminative model | Conference |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meng Jian | 1 | 59 | 8.07 |
| Cheolkon Jung | 2 | 342 | 47.75 |