4199 search results - page 690 / 840 » Generalizing Data in Natural Language |
KDD
2006
ACM
14 years 10 months ago
2006
ACM
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
KDD
2004
ACM
14 years 10 months ago
2004
ACM
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
VLDB
2007
ACM
14 years 10 months ago
2007
ACM
Low-latency and high-throughput processing are key requirements of data stream management systems (DSMSs). Hence, multi-core processors that provide high aggregate processing capa...
KDD
2007
ACM
14 years 4 months ago
2007
ACM
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
IPMI
2005
Springer
14 years 3 months ago
2005
Springer
Statistical iterative reconstruction algorithms have shown improved image quality over conventional nonstatistical methods in PET by using accurate system response models and measu...