Abstract | ||
---|---|---|
•A new notion of class-attribute inconsistency for novelty detection.•A novelty often has inconsistent class- and attribute-level similar references.•CAILNet outperforms state-of-the-arts by exploring and mining inconsistency. |
Year | DOI | Venue |
---|---|---|
2022 | 10.1016/j.patcog.2022.108582 | Pattern Recognition |
Keywords | DocType | Volume |
Novelty detection,Class-attribute inconsistency,Class-level similarity,Attribute-level similarity | Journal | 126 |
ISSN | Citations | PageRank |
0031-3203 | 0 | 0.34 |
References | Authors | |
0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shuaiyuan Du | 1 | 0 | 1.69 |
Chaoyi Hong | 2 | 0 | 1.01 |
Yinpeng Chen | 3 | 0 | 0.34 |
Zhiguo Cao | 4 | 314 | 44.17 |
Ziming Zhang | 5 | 0 | 0.34 |