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Filtering by: Creator Briggs, Forrest Remove constraint Creator: Briggs, Forrest Language English [eng] Remove constraint Language: English [eng]

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Multi-instance multi-label learning : algorithms and applications to bird bioacoustics

Creator:

Briggs, Forrest

Abstract:

We consider the problem of supervised classification of bird species from audio recordings in a real-world acoustic monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without human supervision). Obtaining better data about bird activity can assist conservation efforts, and improve our understanding of their...

Resource Type:

Dissertation

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Applications to Bird Bioacoustics AN ABSTRACT OF THE THESIS OF Forrest Briggs for the degree of Doctor of
Context-Aware MIML Instance Annotation: Exploiting Label Correlations With ClassIfier Chains

Creator:

Briggs, Forrest, Fern, Xiaoli Z., and Raich, Raviv

Abstract:

In multi-instance multi-label (MIML) instance annotation, the goal is to learn an instance classifier while training on a MIML dataset, which consists of bags of instances paired with label sets; instance labels are not provided in the training data. The MIML formulation can be applied in many domains. For example,...

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Article

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Correlations With Classifier Chains Forrest Briggs, Xiaoli Z. Fern, and Raviv Raich School of Electrical
Acoustic classification of multiple simultaneous bird species: A multi-instance multi-label approach

Creator:

Briggs, Forrest, Lakshminarayanan, Balaji, Neal, Lawrence, Fern, Xiaoli Z., Raich, Raviv, Hadley, Sarah J. K., Hadley, Adam S., and Betts, Matthew G.

Abstract:

Although field-collected recordings typically contain multiple simultaneously vocalizing birds of different species, acoustic species classification in this setting has received little study so far. This work formulates the problem of classifying the set of species present in an audio recording using the multi-instance multi-label (MIML) framework for machine learning, and...

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Article

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species: A multi-instance multi-label approach Forrest Briggs,a) Balaji Lakshminarayanan, Lawrence Neal

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Academic Affiliation

College of Forestry1
Electrical Engineering and Computer Science1

Advisor

Fern, Xiaoli1

Commencement Year

20141

Committee Member

Betts, Matthew1
Higdon, Robert1
Raich, Raviv1
Wong, Weng-Keen1

Creator

Briggs, Forrest3
Fern, Xiaoli Z.2
Raich, Raviv2
Betts, Matthew G.1
Hadley, Adam S.1
more Creators »

Date

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Current results range from 2012 to 2015

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Decade

2010-20193

Degree Field

Computer Science1

Degree Level

Doctoral1

Degree Name

Doctor of Philosophy (Ph.D.)1

Language

English [eng][remove]3

License

All rights reserved1

Non-Academic Affiliation

Oregon State University. Graduate School1

Peer Reviewed

Yes2
No1

Resource Type

Article2
Dissertation1

Rights Statement

Copyright Not Evaluated2
In Copyright1

Subject

Bioacoustics -- Data processing1
Birds -- Identification -- Computer programs1
Birdsongs -- Data processing1
Computer algorithms1
Machine learning1
more Subjects »

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