Approaches to Sequence Similarity Representation
| Data(s) |
20/12/2009
20/12/2009
2006
|
|---|---|
| Resumo |
We discuss several approaches to similarity preserving coding of symbol sequences and possible connections of their distributed versions to metric embeddings. Interpreting sequence representation methods with embeddings can help develop an approach to their analysis and may lead to discovering useful properties. |
| Identificador |
1313-0463 |
| Idioma(s) |
en |
| Publicador |
Institute of Information Theories and Applications FOI ITHEA |
| Palavras-Chave | #Sequence Similarity #Metric Embeddings #Distributed Representations #Neural Networks |
| Tipo |
Article |
