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Classification

Curated by: Aidong Zhang


Classification – Assigning labels to objects is one of the cornerstone application/task in data mining. Many day-to-day activities, some so involuntary that we don’t even realize doing it, are classification tasks – “Identifying your car in the parking lot” or “Recognizing your family member in a crowd”. These seemingly simple tasks for humans, however, is extremely difficult for computers and forms the core of AI problems.

The domain applications of classification have expanded from early days of hand-written digit recognition and face recognition tasks in 90s to identifying and classifying data in high-throughput environment like bioinformatics and social media.

With “big” data and growth of deep learning algorithms, a new paradigm of techniques and use-cases have arisen which significantly reduces human intervention in training the system/algorithm. Some very interesting demos/applications are listed in [1] in which a specific example of online handwritten character recognition available here: http://deep.host22.com/.

A general introduction and survey of classification algorithms can be found in [2].

[1] http://deeplearning.net/demos/

[2] http://wen.ijs.si/ojs-2.4.3/index.php/informatica/article/download/148/140


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