Name
Abstract | ||
|---|---|---|
This paper proposes some extensions to the work on kernels dedicated to string or time series global alignment based on the aggregation of scores obtained by local alignments. The extensions that we propose allow us to construct, from classical recursive definition of elastic distances, recursive edit distance (or time-warp) kernels that are positive definite if some sufficient conditions are sati... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TNNLS.2014.2333876 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Kernel,Time series analysis,Time measurement,Convolution,Support vector machines,Vectors | Edit distance,Pattern recognition,Convolution,Support vector machine,Positive-definite matrix,Artificial intelligence,Distance matrix,Positive definiteness,Machine learning,Recursion,Mathematics,Recursive definition | Journal |
Volume | Issue | ISSN |
26 | 6 | 2162-237X |
Citations | PageRank | References |
19 | 0.62 | 27 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pierre-Francois Marteau | 1 | 19 | 0.62 |
| Sylvie Gibet | 2 | 367 | 52.50 |