View SensIT Vehicle (acoustic) (public)
- Summary
(No information yet)
- License
- unknown (from LibSVMTools repository)
- Dependencies
- Tags
- libsvm LibSVMTools slurped
- Attribute Types
- Download
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# Instances: 98528 / # Attributes: 51
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- Original Data Format
- libsvm
- Name
- sensit-vehicle-acoustic
- Version mldata
- 0
- Comment
LibSVM
- Names
- Data (first 10 data points)
2 -0.03... -0.02... -0.01... 0.00... 0.05... 1.0 0.03... 0.01... -0.01... ... 3 0.12... 1.0 0.60... 0.00... 0.71... -0.03... -0.04... -0.02... -0.02... ... 3 -0.08... -0.13... -0.16... -0.16... 0.57... 0.08... -0.09... 1.0 0.15... ... 3 -0.01... 0.02... -0.00... 0.04... 1.0 0.02... -0.00... -0.01... 0.00... ... 2 -0.01... -0.02... -0.01... -0.01... 1.0 -0.02... -0.02... -0.01... -0.00... ... 2 -0.01... 0.38... 0.28... 1.0 0.66... 0.21... 0.00... 0.01... -0.05... ... 3 -0.03... -0.00... -0.02... 0.02... 0.12... 1.0 0.59... 0.09... -0.01... ... 2 -0.02... -0.01... 0.01... -0.00... 1.0 -0.00... -0.02... -0.01... -0.00... ... 3 0.02... 0.69... 1.0 0.08... -0.00... 0.11... -0.01... -0.02... -0.03... ... 3 0.36... 1.0 0.21... 0.48... 0.18... -0.01... -0.04... -0.04... -0.04... ... ... ... ... ... ... ... ... ... ... ... ...
- Description
Preprocessing: Regenerate features by the authors' matlab scripts (see Sec. C of Appendix A), then randomly select 10% instances from the noise class so that the class proportion is 1:1:2 (AAV:DW:noise). The training/testing sets are from a random 80% and 20% split of the data. [MD04a] # of classes: 3# of data: 78,823 / 19,705 (testing) # of features: 50
- URLs
- (No information yet)
- Publications
- Data Source
- http://www.ece.wisc.edu/~sensit/ Sensit [ ref.html#MD04a MD04a]
- Measurement Details
- Usage Scenario
- revision 1
- by mldata on 2010-11-01 11:47
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.