Discovering Recurrent Image Semantics from Class Discrimination
نویسندگان
چکیده
منابع مشابه
Discovering Recurrent Image Semantics from Class Discrimination
Supervised statistical learning has become a critical means to design and learn visual concepts (e.g., faces, foliage, buildings, etc.) in content-based indexing systems. The drawback of this approach is the need of manual labeling of regions. While several automatic image annotationmethods proposed recently are very promising, they usually rely on the availability and analysis of associated te...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2006
ISSN: 1687-6180
DOI: 10.1155/asp/2006/76093