Name
Abstract | ||
|---|---|---|
Discriminative features are crucial for several learning applications, such as object detection and classification. Neural networks are extensively used for extracting discriminative features of images and speech signals. However, the lack of large datasets in the haptics domain often limits the applicability of such techniques. This paper presents a general framework for the analysis of the discr... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/HAPTICS52432.2022.9765606 | 2022 IEEE Haptics Symposium (HAPTICS) |
DocType | ISSN | ISBN |
Conference | 2324-7347 | 978-1-6654-2029-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Priyadarshini K | 1 | 0 | 0.34 |
| Subhasis Chaudhuri | 2 | 1384 | 133.18 |