The sky celebrates the new year

برف بهاری
Originally uploaded by muharram_m

Today, sky has joined the people to celebrate the new year, with these dancing pretty snowflakes!

Book Review: Combining Pattern Classifiers; Methods and Algorithms

Recently I've read the book Combining Pattern Classifiers, Methods and Algorithms by Ludmila I Kuncheva. The book addresses the problem of using multiple pattern classifiers to enhance the classification task in quantitative (e.g. accuracy) and qualitative (e.g. robustness) directions.

After taking three courses on pattern recognition and machine learning, the book helped me to get an idea over the whole subject of pattern analysis and classification. It starts with a compact but rich introduction to the theme of pattern recognition and the basic classifier types. Classifier design methods are studied in classifier vs. boundary design and parametric vs non-parametric learning dimensions. After the two introductory chapters on the discipline of pattern recognition, the concept of multi-classifier systems is introduced in chapter three. It is clarified in this chapter that the book is dedicated mainly to combining classifiers at the decision level and topics such as using diverse set of base classifiers are not discussed intensively. Then, combining of classifier outputs are treated in label output and continuous output categories. Various algorithms for majority voting and fusion of the label outputs are studied and compared throughout chapters three and four. Fusion of continuous valued outputs are studied in chapter five.
Selecting different classifiers for different sections of the input spaces are introduced in chapter six and the well-known knn method with its variations are studied in this chapter. Bagging and boosting methods for classifier selection are the subject of the seventh chapter.
The two stages before and after classifier combination; i.e. feature selection as the preprocessing and error corrections as the post-processing; discussed in chapter eight. The importance of feature selection and feature space partitioning are analyzed and demonstrated through the representative examples.
Most of the topics covered so far in the book were based on the results of the experiments in different application areas. Chapters nine and ten contain theoretical views and analysis on the classifier combination methods and rules.
Chapter ten is totally devoted to the diversity of classifiers in an ensemble. Diversity of the classifiers are studied in simple observable methods (e.g. training on different sections of input spaces) as well as statistical analysis tools and methods. Some open research directions are mentioned in the field of classifier combination.
As a student, I found this book helpful for gaining an understanding of the nature of pattern classifiers and the combination architectures. I'll recommend the book for those who took the elementary courses such as statistical pattern recognition and machine learning. The book will serve as a guiding resource for combining and using various familiar methods and algorithms.

Simple But Efficient Idea

Research Office, TMU
Originally uploaded by muharram_m

It is almost a year that administration of engineering school has set up boxes on the wall nearby each office.
Processed documents are returned back to the owners through these boxes. This simple idea speeds up offcial workfolws considerablly.

Convert Azeri/Arabic texts to Azeri/Latin

Azerbaijani(Azeri) language is written in at least three different alphabets. Azeri Latin and Cyrillic is used in Azerbaijan Republic and Arabic alphabet is used in Iran. We've developed a Microsoft Word addin that helps you convert Azeri text written in Arabic into Latin text. The tool is steel in its pre-beta version and available for download at sf.net . You are encouraged to download and test the tool and report the apparent bugs. Furthermore, you can post your recommendations through this blog or the project page.
Please follow instructions in the accompanied readme.txt to install and use the tool.

Mobile Bookstore!

Mobile Bookstore
Originally uploaded by muharram_m

A mobile bookstore at Tehran, Iran. All the books are preparation guides for higher education examinations.

Towards the new year

DSC01013
Originally uploaded by muharram_m

Initial signs of the Iranian new year; jalali, 1388.