文件名称:octr-(1)
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Vector quantization (VQ) is one of the lossy data compression
techniques[1], [2] and has been used in number of
applications, like pattern recognition [3], speech recognition
and face detection [4], [5], image segmentation [6-9], speech
data compression [10], Content Based Image Retri (CBIR)
[11], [12], Face recognition[13], [14] iris recognition[15],
tumor detection in mammography images [29] etc.-Vector quantization (VQ) is one of the lossy data compression
techniques[1], [2] and has been used in number of
applications, like pattern recognition [3], speech recognition
and face detection [4], [5], image segmentation [6-9], speech
data compression [10], Content Based Image Retri (CBIR)
[11], [12], Face recognition[13], [14] iris recognition[15],
tumor detection in mammography images [29] etc.
techniques[1], [2] and has been used in number of
applications, like pattern recognition [3], speech recognition
and face detection [4], [5], image segmentation [6-9], speech
data compression [10], Content Based Image Retri (CBIR)
[11], [12], Face recognition[13], [14] iris recognition[15],
tumor detection in mammography images [29] etc.-Vector quantization (VQ) is one of the lossy data compression
techniques[1], [2] and has been used in number of
applications, like pattern recognition [3], speech recognition
and face detection [4], [5], image segmentation [6-9], speech
data compression [10], Content Based Image Retri (CBIR)
[11], [12], Face recognition[13], [14] iris recognition[15],
tumor detection in mammography images [29] etc.
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octr.m
license.txt
license.txt
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