248 search results - page 1 / 50 » Unsupervised Learning for Hierarchical Clustering Using Stat... |
ISNN
2004
Springer
13 years 10 months ago
2004
Springer
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...
AVSS
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
SAC
2005
ACM
13 years 10 months ago
2005
ACM
Because of name variations, an author may have multiple names and multiple authors may share the same name. Such name ambiguity affects the performance of document retrieval, web ...
EMNLP
2008
13 years 6 months ago
2008
We describe an approach for acquiring the domain-specific dialog knowledge required to configure a task-oriented dialog system that uses human-human interaction data. The key aspe...