Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Prototype selection for composite nearest neighbor classifiers
Prototype selection for composite nearest neighbor classifiers
2D spiral pattern recognition with possibilistic measures
Pattern Recognition Letters
Sensing Attacks in Computers Networks with Hidden Markov Models
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
An Improved AdaBoost Algorithm Based on Adaptive Weight Adjusting
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Multimodal emotion classification in naturalistic user behavior
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: towards mobile and intelligent interaction environments - Volume Part III
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In this paper we discuss classifier architectures to categorize time series. Three different architectures for the fusion of local classifier decisions are presented and applied to classify recordings of cricket songs. Different features from local time windows are extracted automatically from the waveform of the sound patterns. These features are used to classify the whole time series. We present results for all three classifier architectures on a data set of 28 different categories.