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          Pattern recognition and classification is the act of taking in raw data and using a set of properties and features take an action on the data. As humans, our brains do this sort of classification everyday and every minute of our lives, from recognizing faces, sounds and voices. This cognitive task has been very crucial for our survival. Moving on, we seek to design models and systems that will be able to recognize and furthermore classify these patterns into different categories for further use. This enables us to design pattern recognition machines that have a variety of different applications from fingerprint identification, speech recognition to DNA sequence identification.
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        I find the mechanism of recognizing and sorting different pieces of information to be interesting both in humans and in electronics. How the information being gathered is used to make  Pattern recognition and classification is the act of taking in raw data and using a set of properties and features take an action on the data. As humans, our brains do this sort of classification everyday and every minute of our lives, from recognizing faces, sounds and voices. This cognitive task has been very crucial for our survival. Moving on, we seek to design models and systems that will be able to recognize and furthermore classify these patterns into different categories for further use. This enables us to design pattern recognition machines that have a variety of different applications from fingerprint identification, speech recognition to DNA sequence identification.

Revision as of 21:51, 31 January 2013

Introduction


  I find the mechanism of recognizing and sorting different pieces of information to be interesting both in humans and in electronics. How the information being gathered is used to make Pattern recognition and classification is the act of taking in raw data and using a set of properties and features take an action on the data. As humans, our brains do this sort of classification everyday and every minute of our lives, from recognizing faces, sounds and voices. This cognitive task has been very crucial for our survival. Moving on, we seek to design models and systems that will be able to recognize and furthermore classify these patterns into different categories for further use. This enables us to design pattern recognition machines that have a variety of different applications from fingerprint identification, speech recognition to DNA sequence identification.

Alumni Liaison

Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

Dr. Paul Garrett