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31 186 (0,101s)

Result

WalDis: Mining Discriminative Patterns within Dynamic Graphs

to understand the events, one must be able to discriminate between different events. Existing approaches typically discriminate whole graphs, which are, in addition, mostly static. We propose a new algorithm WalDis for mining d...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • O
Result

WalDis: Mining Discriminative Patterns within Dynamic Graphs

to understand the events, one must be able to discriminate between different events. Existing approaches typically discriminate whole graphs, which are, in addition, mostly static. We propose a new algorithm WalDis for mining d...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2018
  • D
  • Link
Result

Does the type of task affect prey discrimination learning in avian predators?

of birds tested with two discriminative cues, colour and pattern, using three the pattern as a discriminative cue. The birds tested with colour, a more salient cueWhen learning to discriminate between pal...

Zoology

  • 2023
  • Jimp
  • Link
Result

Use of Factor Analysis in Pattern Recognition

and pattern classes as in discriminant analysis. The m dimensional vector is an input parameter. The method can classify into n groups of patterns. Pattern recognition canPattern recognition deals with ob...

Automation and control systems

  • 2018
  • JSC
  • Link
Result

Common tensor discriminant analysis for human brainwave recognition accelerated by massive parallelism

In this paper, a massively parallel implementation of Common Tensor Discriminant Analysis is presented with applications to human brainwave pattern recognition. The implementation, accelerated by the NVIDIA Compute Unified Device Ar...

IN - Informatika

  • 2013
  • D
  • Link
Result

A genetic algorithm for discriminative graph pattern mining

a new algorithm for mining discriminative patterns of events in such dynamic graphs. This is dierent from other approaches, which typically discriminate whole static graphs while The algorithm uses random walks and a neste...

Computer and information sciences

  • 2019
  • D
  • Link
Result

Brain-Computer Interface: Common Tensor Discriminant Analysis Classifier Evaluation

The performance of the Common Tensor Discriminant Analysis CTDA method for Brain-Computer Interface EEG pattern classification is compared with three other classifiers. The classifiers are designed with the aim to distinguish EEG

BB - Aplikovaná statistika, operační výzkum

  • 2011
  • D
  • Link
Result

Effects of MRI acquisition parameter variations and protocol heterogeneity on the results of texture analysis and pattern discrimination: an application-oriented study

MRI texture features are generally considered to be sensitive to variations in signal-to-noise ratio and spatial resolution, which represents an obstacle for the widespread clinical application of texture-based pattern discrimination

FP - Ostatní lékařské obory

  • 2009
  • Jx
Result

Material identification using laser spectroscopy and pattern recognition algorithm

We report in pattern recognition algorithm in discriminant analysis, which were used on Laser Induced Breakdown Spectroscopy spectra for metal identification and sorting purposes....

BH - Optika, masery a lasery

  • 2001
  • D
Result

Classifiers in speech recognition systems based on TRAPS

This article deals with feature extraction for speech recognition using temporal patterns (TRAPS). TRAP-systems use neural network classifiers. Four different configuration of classifiers are compared in this work. Linear Discriminant

JC - Počítačový hardware a software

  • 2002
  • D
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