Detail publikace

Improving TRAPS features using LDA

Originální název

Improving TRAPS features using LDA

Anglický název

Improving TRAPS features using LDA

Jazyk

en

Originální abstrakt

The goal of this work was to make TRAPS (Temporal Patterns) system smaller and more accurate. Linear Discrimination Analysis (LDA) was used for reducing the dimensionality of temporal vectors. Different ways of processing of these TRAPS-LDA features were tested. Results are promising for further investigation.

Anglický abstrakt

The goal of this work was to make TRAPS (Temporal Patterns) system smaller and more accurate. Linear Discrimination Analysis (LDA) was used for reducing the dimensionality of temporal vectors. Different ways of processing of these TRAPS-LDA features were tested. Results are promising for further investigation.

BibTex


@inproceedings{BUT10263,
  author="František {Grézl} and Lukáš {Burget} and Pratibha {Jain} and Jan {Černocký}",
  title="Improving TRAPS features using LDA",
  annote="The goal of this work was to make TRAPS (Temporal Patterns) system
smaller and more accurate. Linear Discrimination Analysis (LDA) was
used for reducing the dimensionality of temporal vectors. Different
ways of processing of these TRAPS-LDA features were tested. Results are
promising for further investigation.",
  address="Slovak University of Technology in Bratislava",
  booktitle="Proc. 12th International scientific conference Radioelektronika 2002",
  chapter="10263",
  institution="Slovak University of Technology in Bratislava",
  year="2002",
  month="may",
  pages="0",
  publisher="Slovak University of Technology in Bratislava",
  type="conference paper"
}