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NIPS
2001
14 years 10 months ago
Bayesian time series classification
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Peter Sykacek, Stephen J. Roberts
ICMCS
2005
IEEE
183views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Sports Event Recognition Using Layered HMMS
The recognition of events in video data is a subject of much current interest. In this paper, we address several issues related to this topic. The first one is overfitting when ...
Mark Barnard, Jean-Marc Odobez
ICASSP
2011
IEEE
14 years 1 months ago
Audio recognition in the wild: Static and dynamic classification on a real-world database of animal vocalizations
We present a study on purely data-based recognition of animal sounds, performing evaluation on a real-world database obtained from the Humboldt-University Animal Sound Archive. As...
Felix Weninger, Björn Schuller
ICASSP
2011
IEEE
14 years 1 months ago
Combining HMM-based melody extraction and NMF-based soft masking for separating voice and accompaniment from monaural audio
Modern monaural voice and accompaniment separation systems usually consist of two main modules: melody extraction and timefrequency masking. A main distinction between different s...
Yun Wang, Zhijian Ou
ICML
2000
IEEE
15 years 10 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...