2782 search results - page 514 / 557 » Pattern Recognition |
138
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KDD
2006
ACM
16 years 2 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...
134
Voted
KDD
2005
ACM
16 years 2 months ago
2005
ACM
Heterogeneous data co-clustering has attracted more and more attention in recent years due to its high impact on various applications. While the co-clustering algorithms for two t...
113
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KDD
2005
ACM
16 years 2 months ago
2005
ACM
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
110
Voted
KDD
2005
ACM
16 years 2 months ago
2005
ACM
Computer architects utilize simulation tools to evaluate the merits of a new design feature. The time needed to adequately evaluate the tradeoffs associated with adding any new fe...
121
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KDD
2004
ACM
16 years 2 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...