Name
Title | ||
|---|---|---|
Deep Archetypal Analysis Based Intermediate Matching Kernel For Bioacoustic Classification |
Abstract | ||
|---|---|---|
We introduce a new classification framework that combines the characteristics of matrix factorization with the discriminative capabilities of kernel methods. Short-time analysis of audio signals having different durations result in sets of feature vectors having different cardinalities. Support vector machines handle such varying-length feature sets using dynamic kernels, such as the intermediate ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JSTSP.2019.2906465 | IEEE Journal of Selected Topics in Signal Processing |
Keywords | Field | DocType |
Kernel,Birds,Support vector machines,Task analysis,Hidden Markov models,Dictionaries,Manganese | Kernel (linear algebra),Computer vision,Audio signal,Feature vector,Pattern recognition,Computer science,Matrix decomposition,Support vector machine,Cardinality,Artificial intelligence,Kernel method,Discriminative model | Journal |
Volume | Issue | ISSN |
13 | 2 | 1932-4553 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anshul Thakur | 1 | 1 | 4.41 |
| Padmanabhan Rajan | 2 | 22 | 7.63 |