CENPARMI offers members access to labs, databases, user guides and other tools that facilitate collaboration and consultation.
CENPARMI members continually make training databases available to researchers and students:
This list is always growing. Please contact Nicola Nobile at firstname.lastname@example.org for any questions about CENPARMI databases and resources.
HeroSvm is a high-performance library that improves training SVM (Support Vector Machine) classification on large training sets. HeroSvm was developed by former PhD student Jianxiong Dong.
The local section has additional information about labs, databases and general guidelines for use. The local section is restricted to CENPARMI members only.
Marleah Blom, Office Assistant
514-848-2424, ext. 7950
1455 de Maisonneuve Blvd. West
Montreal, QC, H3G 1M8
1515 Sainte-Catherine St. W
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