Result for 914E551BDF9066CC50F48C04A4FA9A26EAA11B40

Query result

Key Value
FileName./usr/include/TinySVM/model.h
FileSize2084
MD5996F3528D035FCD4FAF6ACED6701F25F
SHA-1914E551BDF9066CC50F48C04A4FA9A26EAA11B40
SHA-25657EA44D3F749EB403515EF6616B714FDB4A80C33C71E10164D1B2E473A683940
SSDEEP48:TH8F/JyvHqofDgSaCOjjVRB2m5YRDv7P3:THy/AffUSKjjVRB/5U3
TLSHT1CD41810C665DEE7341E60BFA2AC7C0C6D10B992031CCD48D369EE2B80F4702AB876CE4
hashlookup:parent-total9
hashlookup:trust95

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Parents (Total: 9)

The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize50950
MD572EC5A31FB580DC92ABF8229B055973C
PackageDescriptionSVM trainer and classifier toolkit - development files SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides development headers for TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm-dev
PackageSectionlibdevel
PackageVersion0.09+dfsg-2
SHA-1E983B09D6FFE1B9397485D08952C686343D64646
SHA-256E7A83DA1B2486304B0192D35F3C5361F47798B1591066118DE38C156D625D795
Key Value
FileSize48494
MD5303D9554B7643CD0ED3EED1385B58492
PackageDescriptionSVM trainer and classifier toolkit - development files SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides development headers for TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm-dev
PackageSectionlibdevel
PackageVersion0.09+dfsg-2
SHA-19CD1C4D736F033E48712E0DC4790FA093426AADF
SHA-2562ADF7064E54B32F8210BB911419DD7E0BED7EF9F53A97D8B9D3E989ED9C237CB
Key Value
FileSize40934
MD57CEADC4816C67FC37C946CF8EDE1903E
PackageDescriptionSVM trainer and classifier toolkit - development files SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides development headers for TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm-dev
PackageSectionlibdevel
PackageVersion0.09+dfsg-2
SHA-18F4EE7D0BCC042E8971EF486892746E0E7C5B7C4
SHA-256E3577F8EA4CE117875D7787F2E9092395B8D5B0BCB33113515F2E55B07B741C2
Key Value
FileSize48946
MD5A6957AA7B424A53C1ED004183BAEDDE7
PackageDescriptionSVM trainer and classifier toolkit - development files SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides development headers for TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm-dev
PackageSectionlibdevel
PackageVersion0.09+dfsg-2
SHA-1D240CAFF53F45690EF95E348197E7B9634EBBF70
SHA-256CFE7C2BCA28E9E459A8280209783BB6CD7A9EA37EE13C3BEFC6C42F5646D7B03
Key Value
FileSize46354
MD5ED126815839834FCC63519DFE8CAE0D9
PackageDescriptionSVM trainer and classifier toolkit - development files SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides development headers for TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm-dev
PackageSectionlibdevel
PackageVersion0.09+dfsg-2
SHA-1E99E820FB35593F9FD9DB27F2D86570F0C0F4931
SHA-256615BA01133B866367FF8449B313B2775DFF951F71A0A29AF22DF3B148D031660
Key Value
FileSize52146
MD5261B2A2EAA97D8901AC2108201D300D9
PackageDescriptionSVM trainer and classifier toolkit - development files SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides development headers for TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm-dev
PackageSectionlibdevel
PackageVersion0.09+dfsg-2
SHA-1DD7C7AEEDE72F3A8F7A1C0E0C640FB5B34DCC717
SHA-2565CA39859E48DB1A929CD531613B817755058A5FBACE51E9D16622BDF17E9CFD5
Key Value
FileSize42272
MD5BEBB8E20017C350858E5589EDA1D1FAC
PackageDescriptionSVM trainer and classifier toolkit - development files SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides development headers for TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm-dev
PackageSectionlibdevel
PackageVersion0.09+dfsg-2
SHA-1552C551BDC547745716A929DEDE0AC866924D76C
SHA-256E134692B600110721E62AD59A54409E2911AE81129FC13C8AD12FFA86A86C2F2
Key Value
FileSize47562
MD5D091480268DC1ED6370578AD5BB68475
PackageDescriptionSVM trainer and classifier toolkit - development files SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides development headers for TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm-dev
PackageSectionlibdevel
PackageVersion0.09+dfsg-2
SHA-117B0FB4237EC275FE1679B28DC2F6825AFD5442A
SHA-2563D4593599762E32E838A0F19E0F484F4EBAB8F8B47DCA8A816B1195F2466977A
Key Value
FileSize37066
MD599BB91D16E75C7098B5110E484591738
PackageDescriptionSVM trainer and classifier toolkit - development files SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides development headers for TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm-dev
PackageSectionlibdevel
PackageVersion0.09+dfsg-2
SHA-16B04EDD9AA55188DC4B027DBB8315D72919146CE
SHA-25693B2ED52B3F6F9F1F1CD5CEF8A7288F6184F7375A3C18715DD16BAEBE87EDC4B