View SensIT Vehicle (combined) (public)

2010-11-01 11:49 by mldata | Version 1 | Rating Empty StarEmpty StarEmpty StarEmpty StarEmpty StarEmpty Star
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Summary

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License
unknown (from LibSVMTools repository)
Dependencies
Tags
libsvm LibSVMTools slurped
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# Instances: 98528 / # Attributes: 101
HDF5 (75.9 MB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format
libsvm
Name
sensit-vehicle-combined
Version mldata
0
Comment

LibSVM

Names
Data (first 10 data points)
    3 -0.02... -0.02... -0.02... -0.02... -0.01... 0.01... 1.0 0.03... -0.01... ...
    1 -0.13... -0.09... -0.13... 0.57... -0.07... 0.02... 0.09... 1.0 0.61... ...
    3 0.13... 0.13... 0.52... 1.0 0.83... 0.65... -0.04... 0.09... 0.01... ...
    3 0.71... 0.78... 0.19... 0.22... 0.56... 0.19... 1.0 0.78... -0.02... ...
    2 0.19... 0.30... 0.13... 0.80... 1.0 0.09... -0.00... 0.35... 0.28... ...
    3 1.0 0.31... 0.00... 0.21... 0.00... 0.47... 0.00... -0.03... -0.04... ...
    2 -0.02... -0.02... -0.01... 0.02... 1.0 0.05... -0.00... -0.02... -0.02... ...
    2 0.00... -0.00... 0.01... 0.06... 1.0 0.02... -0.00... -0.02... 0.01... ...
    3 0.08... 0.07... 0.24... 0.07... -0.03... -0.00... -0.02... -0.02... 1.0 ...
    1 -0.02... -0.02... -0.00... -0.02... -0.00... 0.00... 0.04... 1.0 0.01... ...
    ... ... ... ... ... ... ... ... ... ... ...
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: 100

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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 11:49

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    Acknowledgements

    This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
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