1746 search results - page 20 / 350 » Hierarchical Unsupervised Learning |
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
INTERSPEECH
2010
13 years 3 months ago
2010
We extend our earlier work on deep-structured conditional random field (DCRF) and develop deep-structured hidden conditional random field (DHCRF). We investigate the use of this n...
NLPRS
2001
Springer
14 years 1 months ago
2001
Springer
We propose a simple two-level hierarchical probability model for unsupervised word segmentation. By treating words as strings composed of morphemes/phonemes which are themselves c...
SPIESR
2004
13 years 10 months ago
2004
We discuss the meaning and significance of the video mining problem, and present our work on some aspects of video mining. A simple definition of video mining is unsupervised disc...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
We present an active learning scheme that exploits cluster structure in data.