Result for 2221A637D6E76BB4B9A656B960964ED85871508F

Query result

Key Value
FileName./usr/share/doc/tinysvm/THANKS
FileSize46
MD5ACCBC98CD8F86EE5B0AF245164F9592B
SHA-12221A637D6E76BB4B9A656B960964ED85871508F
SHA-2564EDB39A6AE11838D0D046CDF1A4CFE7F69596CE0E55540DCA29A644F33FC419D
SSDEEP3:+rM+EjjMNGljJLl0KLPp:+rLMjMN+jFl0QPp
TLSH
hashlookup:parent-total36
hashlookup:trust100

Network graph view

Parents (Total: 36)

The searched file hash is included in 36 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize91678
MD5B270F0B8F74E266AF8C1F18356C79A6B
PackageDescriptionSVM trainer and classifier toolkit - debug symbols SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms. . This package provides the detached debug symbols for the TinySVM library.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm1-dbg
PackageSectiondebug
PackageVersion0.09+dfsg-2
SHA-103E3A37BCC86913359F3869DDA136DFF0CCFA14B
SHA-2561644A3C82DBAAA4FD7EA24817F42A0DE859733C7EFDEDFA73BD3AFA0247EB908
Key Value
FileSize82406
MD52771C3C4B3CD4459146DE6918D09D364
PackageDescriptionSVM trainer and classifier toolkit - debug symbols SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms. . This package provides the detached debug symbols for the TinySVM library.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm1-dbg
PackageSectiondebug
PackageVersion0.09+dfsg-2
SHA-10451272481A0C020E429FE737E10C4FB3E3DFFAF
SHA-256039DB0B1F66C3DA6CBCE7906FB6F4E31AB3951DB4B776239552495108F28EF68
Key Value
FileSize36398
MD5FFD1EBBCE9D0054CD997D66456A28E59
PackageDescriptionSVM trainer and classifier toolkit - runtime library 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 contains the TinySVM runtime library.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm1
PackageSectionlibdevel
PackageVersion0.09+dfsg-2
SHA-112872871256E6EED6BADB8DB17DBEA1EF57EE73F
SHA-256641B26D32A966748E793FB4712A80B0D88E093EB3F0BEE5080C2672FEE61AF89
Key Value
FileSize83596
MD50CD499591C90A3300D8CC047A96FE612
PackageDescriptionSVM trainer and classifier toolkit - debug symbols SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms. . This package provides the detached debug symbols for the TinySVM library.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm1-dbg
PackageSectiondebug
PackageVersion0.09+dfsg-2
SHA-1163C9E8BB213AE64282FF07D4B901B141C28B4C6
SHA-256E05498AC571CC8DC2207F08BB2308AD3479E610A2343A8CE74AC4F99C6AF6A13
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
FileSize36190
MD513A144EA458B7DA9CA27D66969DA3EC8
PackageDescriptionSVM trainer and classifier toolkit - runtime library 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 contains the TinySVM runtime library.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm1
PackageSectionlibdevel
PackageVersion0.09+dfsg-2
SHA-120171D29896961536E439C7F8DF8D08CD450A3C9
SHA-2568A33404CACD932BD749655F104149A11A6FF7CD2EE769464EFE978E0A82DDB4B
Key Value
FileSize31920
MD5E4D46A5B24B65C3DF2852732FABDCE6E
PackageDescriptionSVM trainer and classifier toolkit - runtime library 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 contains the TinySVM runtime library.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm1
PackageSectionlibdevel
PackageVersion0.09+dfsg-2
SHA-120C134B483579A3755B0B0DA8C00524CAD1CF56C
SHA-256D68316B28CFFCBC8240FA9DB47692DE3325D66FC2C7C28D2ED31896DD34DDEB4
Key Value
FileSize36958
MD5F9B35579A310BC8A4301A1136D9C1681
PackageDescriptionSVM trainer and classifier toolkit - runtime library 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 contains the TinySVM runtime library.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNamelibtinysvm1
PackageSectionlibdevel
PackageVersion0.09+dfsg-2
SHA-1226A8DFD3ED0210D66C234AA214ABE19F1983846
SHA-256B9D0050E31143EBF2C703EA8B4396530C77CAD9ADC93D8ABC0848F52E251E9F0
Key Value
FileSize28360
MD58F842BEAFDAE492645C0312C76558E06
PackageDescriptionSVM trainer and classifier toolkit 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 tools for developing SVMs with TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNametinysvm
PackageSectionscience
PackageVersion0.09+dfsg-2
SHA-12AF830E332FFEAD3662854B636B116792FED17D7
SHA-256FE587A8B11EC58A1DA38BD9FCBB62B975922BC2D36159ECAF886C20D6ECCA3C4
Key Value
FileSize27906
MD5BA5BA903FF9885F31004B4F25B3B2D14
PackageDescriptionSVM trainer and classifier toolkit 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 tools for developing SVMs with TinySVM.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNametinysvm
PackageSectionscience
PackageVersion0.09+dfsg-2
SHA-12B287A2720B553A1E282B8420B077FC183AD320D
SHA-256ABD822F1EF9718D02153A91C9D229BA7EA23260B449FCAFE4099BB1E9DE2D533