825 search results - page 88 / 165 » Learning Parts-Based Representations of Data |
107
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RECOMB
2003
Springer
16 years 6 days ago
2003
Springer
The availability of whole genome sequences and high-throughput genomic assays opens the door for in silico analysis of transcription regulation. This includes methods for discover...
128
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PSIVT
2009
Springer
15 years 6 months ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
GECCO
2008
Springer
15 years 29 days ago
2008
Springer
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
137
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SIGMOD
2011
ACM
14 years 2 months ago
2011
ACM
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
123
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ILP
1999
Springer
15 years 4 months ago
1999
Springer
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...