A dependence-based framework using CDR and FMCA for time-series classification outperforms HMMs and spiking neural networks on the TI-46 speech corpus with a model under 5 MB.
A tutorial on hidden markov models and selected applications in speech recognition,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Time-Series Classification with Multivariate Statistical Dependence Features
A dependence-based framework using CDR and FMCA for time-series classification outperforms HMMs and spiking neural networks on the TI-46 speech corpus with a model under 5 MB.