Name
Abstract | ||
|---|---|---|
We propose a novel algorithm to cluster and annotate a set of input images jointly, where the images are clustered into several discriminative groups and each group is identified with representative labels automatically. For these purposes, each input image is first represented by a distribution of candidate labels based on its similarity to images in a labeled reference image database. A set of t... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TPAMI.2015.2487982 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Visualization,Labeling,Clustering algorithms,Matrix decomposition,Sparse matrices,Linear programming,Feature extraction | Pattern recognition,Computer science,Visualization,Matrix decomposition,Orthogonality,Feature extraction,Artificial intelligence,Cluster analysis,Contextual image classification,Discriminative model,Sparse matrix | Journal |
Volume | Issue | ISSN |
38 | 7 | 0162-8828 |
Citations | PageRank | References |
11 | 0.56 | 46 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seunghoon Hong | 1 | 899 | 30.34 |
| Jonghyun Choi | 2 | 272 | 14.29 |
| Jan Feyereisl | 3 | 131 | 10.20 |
| Bohyung Han | 4 | 2203 | 94.45 |
| Larry S. Davis | 5 | 14201 | 2690.83 |