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Articles by César de Souza (Articles: 7, Technical Blogs: 4, Tip/Tricks: 2)

Articles: 7, Technical Blogs: 4, Tip/Tricks: 2

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Average article rating: 4.93

Static & Panel Controls

A Simple Label Control with Border Effect
Posted: 12 Sep 2007   Updated: 24 Jun 2008   Views: 65,599   Rating: 4.57/5    Votes: 26   Popularity: 6.46
Licence: The Code Project Open License (CPOL)      Bookmarked: 102   Downloaded: 1,732
An article presenting a control capable of adding a border-like effect to any desired text

General Graphics

Haar-feature Object Detection in C#
Posted: 15 Aug 2012   Updated: 18 Sep 2012   Views: 46,332   Rating: 4.96/5    Votes: 87   Popularity: 9.62
Licence: The Code Project Open License (CPOL)      Bookmarked: 179   Downloaded: 8,226
A description of how it was possible to achieve real-time face detection with some clever ideas back in 2001.

Algorithms & Recipes

Handwriting Recognition Revisited: Kernel Support Vector Machines
Posted: 1 Sep 2010   Updated: 19 Aug 2012   Views: 68,219   Rating: 4.99/5    Votes: 67   Popularity: 9.11
Licence: The Code Project Open License (CPOL)      Bookmarked: 178   Downloaded: 9,996
In a previous article, we discussed how to perform the recognition of handwritten digits using Kernel Discriminant Analysis. In this article, we will discuss some techniques to do it using Kernel Support Vector Machines.
Handwriting Recognition using Kernel Discriminant Analysis
Posted: 3 May 2010   Updated: 20 Sep 2012   Views: 98,179   Rating: 4.98/5    Votes: 127   Popularity: 10.47
Licence: The Code Project Open License (CPOL)      Bookmarked: 279   Downloaded: 10,746
Demonstration of handwritten digit recognition using Kernel Discriminant Analysis and the optical recognition of handwritten digits data set from the UCI Machine Learning Repository.
Sequence Classifiers in C# - Part I: Hidden Markov Models
Posted: 6 Feb 2013   Updated: 11 Mar 2013   Views: 14,722   Rating: 5.00/5    Votes: 50   Popularity: 8.49
Licence: The Code Project Open License (CPOL)      Bookmarked: 85   Downloaded: 1,161
Let's understand hidden Markov models before taking a step into hidden conditional random fields.
Sequence Classifiers in C# - Part II: Hidden Conditional Random Fields
Posted: 11 Mar 2013   Updated: 12 Mar 2013   Views: 4,561   Rating: 5.00/5    Votes: 16   Popularity: 6.02
Licence: The Code Project Open License (CPOL)      Bookmarked: 32   Downloaded: 477
The Hidden Conditional Random Field - or why discriminative learning is also an option.
Automatic Image Stitching with Accord.NET
Posted: 20 Jul 2010   Updated: 19 Aug 2012   Views: 128,788   Rating: 4.99/5    Votes: 138   Popularity: 10.68
Licence: The Code Project Open License (CPOL)      Bookmarked: 214   Downloaded: 16,483
Demonstration of automatic image stitching by interest point matching using the Accord and AForge.NET Frameworks

Average blogs rating: 4.89

Discriminatory Power Analysis by Receiver-Operating Characteristic Curves (Part 1 of 2: Theory) [Technical Blog]
Posted: 31 Jan 2010   Updated: 18 Feb 2010   Views: 7,949   Rating: 4.75/5    Votes: 6   Popularity: 3.67
Licence: The Code Project Open License (CPOL)      Bookmarked: 6   Downloaded: 97
The ROC curve was developed by electrical and radar system engineers during World War II to detect enemy objects in enemy fields. The ROC analysis has been used in medicine, radiology, psychology and other areas for many decades. More recently, it has been introduced to machine learning.
Kernel Principal Component Analysis in C# [Technical Blog]
Posted: 18 Feb 2010   Updated: 25 Feb 2010   Views: 16,736   Rating: 4.85/5    Votes: 8   Popularity: 4.35
Licence: The Code Project Open License (CPOL)      Bookmarked: 22   Downloaded: 2,115
Kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.
Hidden Markov Models in C# [Technical Blog]
Posted: 30 Mar 2010   Updated: 5 Dec 2010   Views: 60,735   Rating: 4.98/5    Votes: 34   Popularity: 7.62
Licence: The Code Project Open License (CPOL)      Bookmarked: 87   Downloaded: 6,101
Hidden Markov Models (HMM) are stochastic methods to model temporal and sequence data. They are especially known for their application in temporal pattern recognition such as speech, handwriting, gesture recognition, part-of-speech tagging, musical score following and bioinformatics.
Neural Network Learning by the Levenberg-Marquardt Algorithm with Bayesian Regularization (part 1) [Technical Blog]
Posted: 31 Jan 2010   Updated: 25 Feb 2010   Views: 22,173   Rating: 5.00/5    Votes: 8   Popularity: 4.52
Licence: The Code Project Open License (CPOL)      Bookmarked: 40   Downloaded: 1,444
A complete explanation for the totally lost, part 1 of 2. The Levenberg–Marquardt algorithm provides a numerical solution to the problem of minimizing a (generally nonlinear) function. This article shows how the Levenberg-Marquart can be used to train Neural Networks.

Average tips rating: 3.93

.NET Framework

Simple Model-View-ViewModel in Windows Forms [Tip/Trick]
Posted: 29 Dec 2012   Updated: 31 Jan 2013   Views: 4,955   Rating: 5.00/5    Votes: 2   Popularity: 1.51
Licence: The Code Project Open License (CPOL)      Bookmarked: 11   Downloaded: 68
Just a tip about using data bindings in Windows Forms.

Uncategorised Tips and Tricks

Pass value between forms using events [Tip/Trick]
Posted: 5 Aug 2010   Updated: 5 Aug 2010   Views: 1,016   Rating: 2.86/5    Votes: 4   Popularity: 1.81
Licence: The Code Project Open License (CPOL)      Bookmarked: 0   Downloaded: 0
Alternatively, you could just expose some public properties and raise a standard event. In the event handler you could read the properties as usual, without having to define a new EventArgs.Also if you really need to set properties on the owner, you again could just expose some public...

César de Souza
Software Developer
Brazil Brazil
Member
Just a Computer Science student attending the Federal University of Sao Carlos, Brazil.
 
A technology enthusiast, interested in computer networks, operational systems, free software, computer and devices programming, electronics and, more recently, in artificial intelligence, self-organizing systems and neural networks.


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