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Logo JMLR dlib ml 19.11

by davis685 - May 18, 2018, 04:19:52 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 230352 views, 35584 downloads, 5 subscriptions

About: This project is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.

Changes:

This release adds a bunch of new image processing routines as well as many minor usability improvements and bug fixes.


Logo Databases for DMNS source codes 1.0

by openpr_nlpr - May 15, 2018, 07:56:12 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 151 views, 23 downloads, 1 subscription

About: In DMNS source, five databases are used in slover.cpp and data_veh_layer.cpp, these images and databases are included in this file, except munich database.

Changes:

Initial Announcement on mloss.org.


Logo Source codes of DMNS based on caffe platform 1.0

by openpr_nlpr - May 15, 2018, 07:52:48 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 149 views, 25 downloads, 2 subscriptions

About: Deep measuring net sequence(DMNS) is a sequence of three deep measuring nets, the later are deep fcn-based networks, directely output object category score, object orientation, location and scale simultaneously without any anchor boxes. DMNS acheived high accuracy in maneuvering target detection and geometrical measurements. Its average orientation error is less than 3.5 degree, loaction error less than 1.3 pixel, scale measuring error less than 10%, achieve a detection F1-score 96.5% in OAD, 91.8% in SVDS ,90.8% in Munich , 87.3% in OIRDS, outperforms SSD, Fater R-CNN, etc.

Changes:

Initial Announcement on mloss.org.


Logo Aika 0.17

by molzberger - May 14, 2018, 15:42:00 CET [ Project Homepage BibTeX Download ] 5156 views, 1404 downloads, 4 subscriptions

About: Aika is an open source text mining engine. It can automatically extract and annotate semantic information in text. In case this information is ambiguous, Aika will generate several hypothetical interpretations about the meaning of this text and retrieve the most likely one.

Changes:

Aika Version 0.17 2018-05-14

  • Introduction of synapse relations. Previously the relation between synapses was implicitly modeled through word positions (RIDs). Now it is possible to explicitly model relations like: The end position of input activation 1 equals to the begin position of input activation 2. Two types of relations are currently supported, range relations and instance relations. Range relations compare the input activation range of a given synapse with that of the linked synapse. Instance relations also compare the input activations of two synapses, but instead of the ranges the dependency relations of these activations are compared.
  • Removed the norm term from the interpretation objective function.
  • Introduction of an optional distance function to synapses. It allows to model a weakening signal depending on the distance of the activation ranges.
  • Example implementation of a context free grammar.
  • Example implementation for co-reference resolution.
  • Work on an syllable identification experiment based on the meta network implementation.

Aika Version 0.15 2018-03-16

  • Simplified interpretation handling by removing the InterpretationNode class and moving the remaining logic to the Activation class.
  • Moved the activation linking and activation selection code to separate classes.
  • Ongoing work on the training algorithms.

Logo AffectiveTweets 1.0.1

by felipebravom - May 14, 2018, 08:20:50 CET [ Project Homepage BibTeX Download ] 1361 views, 411 downloads, 3 subscriptions

About: A WEKA package for analyzing emotion and sentiment of tweets.

Changes:

Initial Announcement on mloss.org.


Logo JMLR MLPACK 3.0.1

by rcurtin - May 11, 2018, 05:28:53 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 107201 views, 19259 downloads, 6 subscriptions

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About: A fast, flexible C++ machine learning library, with bindings to other languages.

Changes:

Released May 10th, 2018.

  • Fix intermittently failing tests (#1387).
  • Add Big-Batch SGD (BBSGD) optimizer in src/mlpack/core/optimizers/bigbatch_sgd (#1131).
  • Fix simple compiler warnings (#1380, #1373).
  • Simplify NeighborSearch constructor and Train() overloads (#1378).
  • Add warning for OpenMP setting differences (#1358/#1382). When mlpack is compiled with OpenMP but another application linking against mlpack is not (or vice versa), a compilation warning will now be issued.
  • Restructured loss functions in src/mlpack/methods/ann/ (#1365).
  • Add environments for reinforcement learning tests (#1368, #1370, #1329).
  • Allow single outputs for multiple timestep inputs for recurrent neural networks (#1348).
  • Neural networks: add He and LeCun normal initializations (#1342), add FReLU and SELU activation functions (#1346, #1341), add alpha-dropout (#1349).

Logo 1SpectralClustering 1.2

by tbuehler - May 1, 2018, 19:26:07 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 14860 views, 2909 downloads, 2 subscriptions

About: A fast and scalable graph-based clustering algorithm based on the eigenvectors of the nonlinear 1-Laplacian.

Changes:
  • improved optimization of ncut and rcut criterion
  • optimized eigenvector initialization
  • changed default values for number of runs
  • several internal optimizations
  • made console output more informative

Logo r-cran-Boruta 5.3.0

by r-cran-robot - May 1, 2018, 00:00:06 CET [ Project Homepage BibTeX Download ] 35483 views, 7269 downloads, 2 subscriptions

About: Wrapper Algorithm for All Relevant Feature Selection

Changes:

Fetched by r-cran-robot on 2018-05-01 00:00:06.106403


Logo Armadillo library 8.500

by cu24gjf - April 23, 2018, 17:29:44 CET [ Project Homepage BibTeX Download ] 138408 views, 26377 downloads, 5 subscriptions

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About: Armadillo is a high quality C++ library for linear algebra & scientific computing, aiming towards a good balance between speed and ease of use. The function syntax is deliberately similar to MATLAB. Useful for algorithm development directly in C++, or quick conversion of research code into production environments (eg. software & hardware products).

Changes:
  • faster handling of sparse matrices by kron() and repmat()
  • faster transpose of sparse matrices
  • faster element access in sparse matrices
  • faster row iterators for sparse matrices
  • faster handling of compound expressions by trace()
  • more efficient handling of aliasing in submatrix views
  • expanded normalise() to handle sparse matrices
  • expanded .transform() and .for_each() to handle sparse matrices
  • added reverse() for reversing order of elements
  • added repelem() for replicating elements
  • added roots() for finding the roots of a polynomial

Logo Barista 0.3

by klemms - April 16, 2018, 17:13:03 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1915 views, 433 downloads, 2 subscriptions

About: A Graphical Tool for Designing and Training Deep Neural Networks

Changes:
  • new Caffe version manager
  • added separate executable for remote server
  • new Session cloning behavior
  • improved Host Manager design
  • change database location in Input Manager
  • many smaller improvements and bugfixes

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