Software Listing: Bias

Deadzone Bias Calculator is an application developed using the Java programming language and can run on all the major operating systems.

Now you can use this handy tool in order to calculate the deadzone bias. All you have to do is input the requested values and the software will do the rest.


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  • Platform: WinOther

Bias is a cross-platform versatile information management application / Organizer.

  • Platform: Linux, Mac OS X, WinOther

This allow you to adjust the parameters needed for ITK bias correction. Please download bias field correctors from ITK. This wrapper will simplify your life in using the multi-parameter bias field corrector..

  • Publisher: Rex Cheung
  • Date: 14-05-2013
  • Size: 10 KB
  • Platform: Matlab, Scripts

Read this eBook and learn how to obtain an advantage over a Roulette wheel by looking for a bias. In this eBook you will also discover some background information on the Roulette wheel itself. All of the sections in the eBook are listed below.

The sections available in the eBook are as follows:
-Roulette wheel background
-Spotting the biased wheel
-Recommended Resources

The Roulette wheel background section will provide basic information and history on the Roulette wheel. The Spotting the biased wheel section will provide you with the pragmatic information you will need to spot a bias in a Roulette wheel.

  • Platform: Win2000, Win7 x64, Windows 7, WinOther, WinServer, WinVista, WinVista x64

This application calculates the various voltages and currents of a simple voltage divider bias NPN bipolar transistor amp. The following is calculated: IB, IC, IE, VE, VB, VC, VCE and detection of Saturation or Cutoff. The user can alter the VCC, VBE, transistor beta and any of four resistor values R1, R2, RC and RE by picking the transistor value from a standard-value resistor table or manually entering the value. The schematic illustrates some of the voltage measuring points on the transistor schematic. This app is in final BETA..

  • Platform: WinOther

Auto PHLIP-ML automatically removes extraneous images from CLSM stacks. This iterative operation removes bias in the Otsu threshold calcualtion. Auto PHLIP-ML integrates with the image analysis program PHLIP by automatically creating the PHLIP-ML file..

  • Platform: WinOther
  • BiasViz
  • License: Freeware
  • Price: 0.00
  • Rating

BiasViz is a Java applet for visualization of amino acid bias in multiple sequence alignments..

  • Platform: Linux, Mac OS X, WinOther

Blueprint XAS is a Matlab-based suite designed for the processing and analysis of near-edge x-ray absorption spectroscopy (XAS) data. The suite is designed primarily to assist users in exploring reasonable fit solutions while minimizing user bias..

  • Platform: WinOther

Tools for converting BIAS Deck projects to OMF-compatible files, examining OMF files (and other Bento-compatible containers), and analyzing binary file formats..

  • Platform: Mac OS X
  • EigenMS
  • License: Freeware
  • Price: 0.00
  • Rating

EigenMS is a stand-alone (or Matlab) bottom-up proteomics data normalization algorithms. EigenMS utilized SVD to detect significant trends in the data and eliminates those attributable to bias. EigenMS eliminates effects from known and unknown factors..

  • Platform: Linux, Mac OS X, WinOther
  • GAAS
  • License: Freeware
  • Price: 0.00
  • Rating

GAAS (Genome relative Abundance and Average Size) is a bioinformatic tool to calculate accurate community composition and average genome size in metagenomes by using BLAST, advanced parsing of hits and correction of genome length bias..

  • Platform: Linux, Mac OS X, WinOther

SeqExpress is a cross-platform software that estimates gene/isoform expressioin level via mRNA-Seq data. SeqExpress exams the Sequencing bias in mRNA-Seq and correct it to get more accurate estimation..

  • Platform: Linux, Mac OS X, WinOther

A fast Gentle Adaboost classifier with two different weak-learners: i) decision stump and ii) perceptron. Multiclass is performed with the one-against-all strategy. Usage ------ model = gentleboost_model(X , y , [T] , [options]); Inputs ------- X Features matrix (d x N) y Labels (1 x N). If y represent binary labels vector then y_i={-1,1}, i=1,...,N T Number of weak learners (default T = 100) options weaklearner Choice of weaklearner 0 : Decision Stump, 1 : Perceptron (default weaklearner = 0) epsi Epsilon constant in the sigmoid function used in the perceptron (default epsi = 1) lambda Regularization parameter for the perceptron's weights update (default lambda = 1e-3) max_ite Maximum number of iterations of the perceptron algorithm (default max_ite = 100) Outputs ------- model Structure of model output...

  • Platform: Matlab, Scripts

This function segments (clusters) an image into object classes, and estimates and corrects for slow varying illumination artifacts. Estimates and corrects for bias field in 3D MRI, streak artifacts in CT, and illumination artifacts in color photos. It's an implementation of the paper of M.N. Ahmed et. al. "A Modified Fuzzy C-Means Algorithm for Bias Field estimation and Segmentation of MRI Data" 2002, IEEE Transactions on medical imaging. Only difference is added Gaussian regularization to the bias-field, (disable when sigma is set to zero). See the screenshot. The code is both available as matlab code and as c-coded mex file for speed.

  • Platform: Matlab, Scripts

% Usage window=papouliswin(SIZE of WINDOW); % The variance of the resulting estimate is smaller than that obtained % with the known windows of the same size. % Details of the property of the window can be found in % A. Papoulis, 'Minimum-bias windows for high-resolution spectral es- % timates,' IEEE Trans. Inform. Theory, vol. IT-19, no. 1, pp. 9-12 % This code is written by Md. Sahidullah..

  • Platform: Matlab, Scripts

This is a program which utilizes the included functions in order to calculate 8 image indices (Bias, Correlation coefficient, DIV, Entropy, ERGAS, Q, RASE and RMSE). The purpose of the program is to produce the results fast, easily and in a convenient way for the user (see Outputs). Initially, its purpose was to perform index analysis in hyperspectral and multispectral satellite imagery. It has been used and tested in fused hyperspectral products for quality assessment of the spectral fidelity. However, it is estimated that it can be used for image comparison of similar or processed images, of completely different origin.

  • Platform: Matlab, Scripts

Unusual platformer-Shooter with a strategic bias. Battle to hordes of enemies using weapons and various constructions. Your purpose is not only to reflect enemy attacks, while protecting your own crystal at any cost, but also to destroy the crystals of enemies which include zombies and werewolves. In your arsenal includes building blocks, three traps, three guns and bonuses can earn you a more powerful weapon as well as money. Earn points by killing the monsters. A pool of acid sits at the bottom, so build up your fortress and beware!.

  • Platform: Win2000, Win7 x32, Win7 x64, Windows Server, Windows Vista, WinOther, WinVista, WinVista x64

Detects syntactic bias in text (e.g. propaganda), especially regarding the subject of abortion. (Note: Does *not* detect semantic bias and cannot read minds).
DetectBias License - GNU General Public License (GPL).

  • Platform: WinOther

We aim to provide primary sources of information with what is happening in NZ politics, effectively skipping as much bias and editorialising as possible.
Open Politics NZ License - GNU General Public License version 3.0 (GPLv3).

  • Platform: WinOther

A small project, to measure the visual bias when judging tritones.

The "tritone" consists of 2 distinct shepard tones with half an octave tone difference, played successively.

Every human has it's own way of perception: One would say after hearing the C-F# tritone, that the F# is clearly higher-pitched than the C, but another person would judge the C as the higher tone.

We tried to measure, if there is a possibility of manipulating the perception by adding a visual stimulus by using this program coded in C++.

Our outcomes are, that it is possible to manipulate the perceptions of the individuals significantly by a visual stimulus.

  • Platform: WinOther

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