1746 search results - page 243 / 350 » Hierarchical Unsupervised Learning |
161
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GCB
2000
Springer
15 years 10 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...
175
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ECCV
2010
Springer
15 years 8 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...
161
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EMNLP
2007
15 years 7 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...
184
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MVA
2007
15 years 7 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...
159
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EMNLP
2004
15 years 7 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. ...