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Showing Items 641-660 of 676 on page 33 of 34: First Previous 28 29 30 31 32 33 34 Next

Logo Two stage Sparse Representation 1.0.0

by openpr_nlpr - December 2, 2011, 05:32:31 CET [ Project Homepage BibTeX Download ] 6865 views, 2054 downloads, 0 subscriptions

About: This program implements a novel robust sparse representation method, called the two-stage sparse representation (TSR), for robust recognition on a large-scale database. Based on the divide and conquer strategy, TSR divides the procedure of robust recognition into outlier detection stage and recognition stage. The extensive numerical experiments on several public databases demonstrate that the proposed TSR approach generally obtains better classification accuracy than the state-of-the-art Sparse Representation Classification (SRC). At the same time, by using the TSR, a significant reduction of computational cost is reached by over fifty times in comparison with the SRC, which enables the TSR to be deployed more suitably for large-scale dataset.

Changes:

Initial Announcement on mloss.org.


Logo CMatrix Class 1.0.0

by openpr_nlpr - December 2, 2011, 05:28:41 CET [ Project Homepage BibTeX Download ] 6835 views, 1928 downloads, 0 subscriptions

About: It's a C++ program for symmetric matrix diagonalization, inversion and principal component anlaysis(PCA). The matrix diagonalization function can also be applied to the computation of singular value decomposition (SVD), Fisher linear discriminant analysis (FLDA) and kernel PCA (KPCA) if forming the symmetric matrix appropriately.

Changes:

Initial Announcement on mloss.org.


Logo Hype 0.1.0

by gbaydin - November 16, 2015, 18:35:57 CET [ Project Homepage BibTeX Download ] 6773 views, 2100 downloads, 0 subscriptions

About: Hype is a proof-of-concept deep learning library, where you can perform optimization on compositional machine learning systems of many components, even when such components themselves internally perform optimization.

Changes:

Initial Announcement on mloss.org.


Logo Layer Based Dependency Parser 1.0.0

by openpr_nlpr - December 2, 2011, 04:51:23 CET [ Project Homepage BibTeX Download ] 6742 views, 1812 downloads, 0 subscriptions

About: LDPar is an efficient data-driven dependency parser. You can train your own parsing model on treebank data and parse new data using the induced model.

Changes:

Initial Announcement on mloss.org.


Logo DataDeps.jl v0.2.2

by oxinabox - February 8, 2018, 03:54:26 CET [ Project Homepage BibTeX Download ] 6695 views, 1921 downloads, 0 subscriptions

About: DataDeps is a package for simplifying the management of data in your julia application. In particular it is designed to make getting static data from some server into the local machine, and making programs know where that data is trivial.

Changes:

Initial Announcement on mloss.org.


Logo Linear Discriminant Function Classifier 1.0.0

by openpr_nlpr - December 2, 2011, 05:27:27 CET [ Project Homepage BibTeX Download ] 6670 views, 1860 downloads, 0 subscriptions

About: This program is a C++ implementation of Linear Discriminant Function Classifier. Discriminant functions such as perceptron criterion, cross entropy (CE) criterion, and least mean square (LMS) criterion (all for multi-class classification problems) are supported in it. The program uses a sparse-data structure to represent the feature vector to seek higher computational speed. Some other techniques such as online updating, weights averaging, gaussian prior regularization are also supported.

Changes:

Initial Announcement on mloss.org.


Logo Quasi Dense Matching 1.0.0

by openpr_nlpr - December 2, 2011, 04:44:19 CET [ Project Homepage BibTeX Download ] 6670 views, 1915 downloads, 0 subscriptions

About: This program is used to find point matches between two images. The procedure can be divided into two parts: 1) use SIFT matching algorithm to find sparse point matches between two images. 2) use "quasi-dense propagation" algorithm to get "quasi-dense" point matches.

Changes:

Initial Announcement on mloss.org.


Logo Choquistic Utilitaristic Regression 1.00

by AliFall - April 17, 2015, 11:31:20 CET [ BibTeX BibTeX for corresponding Paper Download ] 6648 views, 2331 downloads, 0 subscriptions

About: This Matlab package implements a method for learning a choquistic regression model (represented by a corresponding Moebius transform of the underlying fuzzy measure), using the maximum likelihood approach proposed in [2], eqquiped by sigmoid normalization, see [1].

Changes:

Initial Announcement on mloss.org.


Logo SIFT Extractor 1.0.0

by openpr_nlpr - December 2, 2011, 05:18:35 CET [ Project Homepage BibTeX Download ] 6639 views, 1968 downloads, 0 subscriptions

About: This program is used to extract SIFT points from an image.

Changes:

Initial Announcement on mloss.org.


Logo Perspective 3 Points Solver 1.0.0

by openpr_nlpr - December 2, 2011, 05:31:04 CET [ Project Homepage BibTeX Download ] 6636 views, 1935 downloads, 0 subscriptions

About: This is a implementation of the classic P3P(Perspective 3-Points) algorithm problem solution in the Ransac paper "M. A. Fischler, R. C. Bolles. Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. Comm. of the ACM, Vol 24, pp 381-395, 1981.". The algorithm gives the four probable solutions of the P3P problem in about 0.1ms, and can be used as input of the consequent RANSAC step. The codes needs the numerics library VNL which is a part of the widely used computer vision library VXL. One can download & install it from http://vxl.sourceforge.net/.

Changes:

Initial Announcement on mloss.org.


Logo r-cran-SDDA 1.0-5

by r-cran-robot - February 2, 2010, 00:00:00 CET [ Project Homepage BibTeX Download ] 6594 views, 1766 downloads, 0 subscriptions

About: Stepwise Diagonal Discriminant Analysis

Changes:

Fetched by r-cran-robot on 2012-02-01 00:00:11.677447


Logo DynaML 1.4.1

by mandar2812 - April 20, 2017, 18:32:33 CET [ Project Homepage BibTeX Download ] 6591 views, 2400 downloads, 0 subscriptions

About: DynaML is a Scala environment for conducting research and education in Machine Learning. DynaML comes packaged with a powerful library of classes implementing predictive models and a Scala REPL where one can not only build custom models but also play around with data work-flows.

Changes:

Initial Announcement on mloss.org.


Logo r-cran-gamboostLSS 1.0-3

by r-cran-robot - November 16, 2011, 00:00:00 CET [ Project Homepage BibTeX Download ] 6584 views, 1773 downloads, 0 subscriptions

About: Boosting Methods for GAMLSS Models

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Fetched by r-cran-robot on 2013-04-01 00:00:04.956804


Logo CPLVE 0.1

by wannesm - June 5, 2009, 13:06:42 CET [ BibTeX Download ] 6571 views, 2747 downloads, 0 subscriptions

About: Preparing

Changes:

Initial Announcement on mloss.org.


Logo choix 0.3.1

by lum - February 12, 2018, 14:47:04 CET [ Project Homepage BibTeX Download ] 6542 views, 1938 downloads, 0 subscriptions

About: Inference algorithms for models based on Luce's choice axiom.

Changes:

Initial Announcement on mloss.org.


Logo Supervised Latent Semantic Indexing 1.0.0

by openpr_nlpr - December 2, 2011, 05:20:50 CET [ Project Homepage BibTeX Download ] 6511 views, 1821 downloads, 0 subscriptions

About: Supervised Latent Semantic Indexing(SLSI) is an supervised feature transformation method. The algorithms in this package are based on the iterative algorithm of Latent Semantic Indexing.

Changes:

Initial Announcement on mloss.org.


Logo iLANN SVD. An incremental noniterative learning method for one layer feedforwar 1.0

by ofontenla - August 16, 2017, 11:53:40 CET [ BibTeX BibTeX for corresponding Paper Download ] 6391 views, 1771 downloads, 0 subscriptions

About: A non-iterative, incremental and hyperparameter-free learning method for one-layer feedforward neural networks without hidden layers. This method efficiently obtains the optimal parameters of the network, regardless of whether the data contains a greater number of samples than variables or vice versa. It does this by using a square loss function that measures errors before the output activation functions and scales them by the slope of these functions at each data point. The outcome is a system of linear equations that obtain the network's weights and that is further transformed using Singular Value Decomposition.

Changes:

Initial Announcement on mloss.org.


Logo LANN SVD. A noniterative SVD based learning algorithm for one layer neural nets 1.0

by ofontenla - August 7, 2017, 13:52:19 CET [ BibTeX BibTeX for corresponding Paper Download ] 6344 views, 1719 downloads, 0 subscriptions

About: A non-iterative learning method for one-layer (no hidden layer) neural networks, where the weights can be calculated in a closed-form manner, thereby avoiding low convergence rate and also hyperparameter tuning. The proposed learning method, LANN-SVD in short, presents a good computational efficiency for large-scale data analytic.

Changes:

Initial Announcement on mloss.org.


Logo Probabilistic Latent Semantic Indexing 1.0.0

by openpr_nlpr - December 2, 2011, 04:42:02 CET [ Project Homepage BibTeX Download ] 6292 views, 1911 downloads, 0 subscriptions

About: Hofmann, T. 1999. Probabilistic latent semantic indexing. In Proceedings of the 22nd ACM-SIGIR International Conference on Research and Development in Information Retrieval (Berkeley,Calif.), ACM, New York, 50–57.

Changes:

Initial Announcement on mloss.org.


Logo DFLsklearn, Hyperparameters optimization in Scikit Learn 0.1

by vlatorre - November 23, 2017, 13:14:36 CET [ Project Homepage BibTeX Download ] 6280 views, 2174 downloads, 0 subscriptions

About: A method to optimize the hyperparameters for machine learning methods implemented in Scikit-learn based on Derivative Free Optimization

Changes:

Initial Announcement on mloss.org.


Showing Items 641-660 of 676 on page 33 of 34: First Previous 28 29 30 31 32 33 34 Next