Name
Abstract | ||
|---|---|---|
•A novel strict and robust similarity estimator is proposed to guide the procedural model fitting.•A novel early rejection strategy is proposed to accelerate the procedural mode fitting.•The proposed method outperforms the state-of-the-art method in few-shot recognition. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patcog.2018.07.027 | Pattern Recognition |
Keywords | Field | DocType |
Complex model fitting,Imperfect point set,Inverse procedural modeling,Probabilistic program induction,Few-shot pattern recognition | Data point,MNIST database,Imperfect,Pattern recognition,Geometric modeling,Cuckoo search,Artificial intelligence,Computer graphics,Grid,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
85 | 1 | 0031-3203 |
Citations | PageRank | References |
0 | 0.34 | 45 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zongliang Zhang | 1 | 1 | 2.04 |
| Jonathan Li | 2 | 798 | 119.18 |
| Yulan Guo | 3 | 672 | 50.74 |
| Xin Li | 4 | 258 | 19.84 |
| Yangbin Lin | 5 | 65 | 5.11 |
| Guobao Xiao | 6 | 52 | 14.88 |
| Cheng Wang | 7 | 118 | 29.56 |