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Moron (Method for Object Recognition of Obscure Nature) is a tool to classify given images based on their content. Technically, it combines feature extraction and machine learning. The classes recognized depend on the version. A typical Moron version tries at least to separate drawn content from photographs (pron) and thus could be adapted as a spam filter for cartoon newsgroups.

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2004-09-03 13:54 Back to release list
0.6.2

입력 이미지 기능이 이제 고정 사각형으로부터 TSL이 colorspace, 추가적인 글로벌 이미지 기능 위치를 지역의 새로운 기본 훈련을 DataSet을 제공하는 로컬 영역에서 통계를 풀링에 의해 계산되며, DCT 변환을 고정이고, 추출하는 몇 가지 편의 기능이 추가되었습니다 DataSet의 조정을위한 학습 속도를 관찰.
Tags: Experimental, Minor feature enhancements
Input image features are now extracted from rectangular, fixed-location regions in TSL colorspace, additional global image features are calculated by pooling stats from local regions, a new default training dataset is provided, DCT transform is fixed, and a few convenience functions are added for tweaking the dataset and observing the learning rate.

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