Yes, they are very different. In some cases complex patterns (e.g. faces) are made up of more simple features (e.g. eye color, distance between eyes, ...), i.e. the information about different features is embedded in the pattern and you'd need feature recognition to achieve pattern recognition.
One could think of a system that makes use of simple feature detectors (i.e. units that respond if a certain feature in a pattern is present) in order to recognize a pattern. For example, in visual patterns feature recognition would work on straight lines, edges, curves, etc and combining different features would lead to pattern recognition ability (e.g. recognizing patterns). In line with the face example, you want might want to have a look at "A feature based approach to face recognition" by Manjunath et al.
http://www.cs.ucla.edu/~soatto/vision/courses/269/papers/Manjunath92.pdf
Yes, they are very different. In some cases complex patterns (e.g. faces) are made up of more simple features (e.g. eye color, distance between eyes, ...), i.e. the information about different features is embedded in the pattern and you'd need feature recognition to achieve pattern recognition.
One could think of a system that makes use of simple feature detectors (i.e. units that respond if a certain feature in a pattern is present) in order to recognize a pattern. For example, in visual patterns feature recognition would work on straight lines, edges, curves, etc and combining different features would lead to pattern recognition ability (e.g. recognizing patterns). In line with the face example, you want might want to have a look at "A feature based approach to face recognition" by Manjunath et al.
http://www.cs.ucla.edu/~soatto/vision/courses/269/papers/Manjunath92.pdf
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