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FGR
2004
IEEE
133views Biometrics» more  FGR 2004»
13 years 11 months ago
Finding Temporal Patterns by Data Decomposition
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
David C. Minnen, Christopher Richard Wren
IJCNLP
2005
Springer
14 years 1 months ago
Automatic Discovery of Attribute Words from Web Documents
We propose a method of acquiring attribute words for a wide range of objects from Japanese Web documents. The method is a simple unsupervised method that utilizes the statistics of...
Kosuke Tokunaga, Jun'ichi Kazama, Kentaro Torisawa
ICML
2000
IEEE
13 years 12 months ago
Using Learning by Discovery to Segment Remotely Sensed Images
In this paper, we describe our research in computer-aided image analysis. We have incorporated machine learning methodologies with traditional image processing to perform unsuperv...
Leen-Kiat Soh, Costas Tsatsoulis
ICASSP
2011
IEEE
12 years 11 months ago
Unsupervised vocabulary discovery using non-negative matrix factorization with graph regularization
In this paper, we present a model for unsupervised pattern discovery using non-negative matrix factorization (NMF) with graph regularization. Though the regularization can be appl...
Meng Sun, Hugo Van hamme
ICASSP
2010
IEEE
13 years 7 months ago
Towards multi-speaker unsupervised speech pattern discovery
In this paper, we explore the use of a Gaussian posteriorgram based representation for unsupervised discovery of speech patterns. Compared with our previous work, the new approach...
Yaodong Zhang, James R. Glass