Bat Species Identification from Zero Crossing and Full Spectrum Echolocation Calls using HMMs, Fisher Scores, Unsupervised Clustering and Balanced Winnow Pairwise Classifiers Ian Agranat, Wildlife Acoustics, Inc. Concord - Zero crossing - Document - PDFSEARCH.IO

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	Bat Species Identification from Zero Crossing and Full Spectrum Echolocation Calls using HMMs, Fisher Scores, Unsupervised Clustering and Balanced Winnow Pairwise Classifiers Ian Agranat, Wildlife Acoustics, Inc. Concord Add to Reading List Document Date: 2013-02-02 09:23:19 Open Document File Size: 1,88 MB Share Result on Facebook City Concord / / Company Artificial Neural Networks / Wildlife Acoustics Inc. / / Continent North America / / Country United Kingdom / United States / / Event Extinction / / IndustryTerm e.g. search phase calls / spectrum recording equipment / hand-selected search phase calls / hand-labeled search phase calls / hand-labeled search-phase calls / inner product / Search phase calls / search-phase calls / / NaturalFeature Random Forest / / Person Ian Agranat / / Position author / Butler / powerful generative model for representing variable length observation sequences / Fisher / / Product Fisher scores / / ProvinceOrState Massachusetts / / Region Midwest / / Technology speech recognition / crossing technologies / broadband / machine learning / The algorithms / 2012-Sep-12 The algorithms / iterative Viterbi algorithm / DNA sequencing / / SocialTag Animal communication Mouse-eared bats Acoustics Zoosemiotics Bat species identification Wildlife Acoustics Animal echolocation Bat Little brown bat Zoology

Bat Species Identification from Zero Crossing and Full Spectrum Echolocation Calls using HMMs, Fisher Scores, Unsupervised Clustering and Balanced Winnow Pairwise Classifiers Ian Agranat, Wildlife Acoustics, Inc. ConcordAdd to Reading List