Data
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caltech101-30 - submitted by cong 558 views, 4278 downloads, 0 comments
last edited by cong - May 1, 2011, 13:55 CET Rating
- Summary: Kernel matrix for Caltech 101, with 30 examples per class for training
- License: CC0
- Tags: caltech Kernel Output
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: matlab (60.4 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
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caltech256-30 - submitted by cong 525 views, 2703 downloads, 0 comments
last edited by cong - Sep 14, 2011, 15:18 CET Rating
- Summary: Kernel matrix for Caltech 256, with 30 examples per class for training
- License: CC0
- Tags: caltech Kernel Output
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: matlab (352.7 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
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MKL-toy - submitted by mkloft 570 views, 17157 downloads, 0 comments
last edited by mkloft - Sep 14, 2011, 15:43 CET Rating
- Summary: Multiple kernel toy data set (six different scenarios)
- Data Shape: 40304 attributes, 20050 instances ()
- License: CC0
- Tags: Kernel Learning MKL Multiple
- Tasks / Methods / Challenges: 1 tasks, 0 methods, 0 challenges
- Download: HDF5 (46.1 MB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
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TSS - submitted by mkloft 0 views, 8749 downloads, 0 comments
last edited by mkloft - May 31, 2013, 00:52 CET Rating
- Summary: Transcription Start Site Detection with Multiple Kernels
- Data Shape: 3 attributes, 2000 instances ()
- License: unknown
- Tags: ARTS detection Kernel Kernels Learning MKL Multiple Site start Transcription TSS
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: HDF5 (152.6 MB) XML CSV ARFF LibSVM Matlab Octave
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
Disclaimer
We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.
Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.