1746 search results - page 243 / 350 » Hierarchical Unsupervised Learning |
132
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GCB
2000
Springer
15 years 7 months ago
2000
Springer
We describe an algorithm for the automatic discovery of recurring patterns in protein structures. The patterns consist of individual residues having a defined order along the prote...
146
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ECCV
2010
Springer
15 years 6 months ago
2010
Springer
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
131
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EMNLP
2007
15 years 5 months ago
2007
Recognizing polarity requires a list of polar words and phrases. For the purpose of building such lexicon automatically, a lot of studies have investigated (semi-) unsupervised me...
143
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MVA
2007
15 years 5 months ago
2007
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
131
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EMNLP
2004
15 years 5 months ago
2004
Paraphrase recognition is a critical step for natural language interpretation. Accordingly, many NLP applications would benefit from high coverage knowledge bases of paraphrases. ...