2631 search results - page 113 / 527 » A Practical Method for the Sparse Resultant |
205
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ECCV
2008
Springer
16 years 8 months ago
2008
Springer
In this paper, we propose a method for extracting image features which utilizes 2 nd order statistics, i.e., spatial and orientational auto-correlations of local gradients. It enab...
149
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AAAI
2007
15 years 8 months ago
2007
Clustering is an old research topic in data mining and machine learning communities. Most of the traditional clustering methods can be categorized local or global ones. In this pa...
188
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CGF
2010
15 years 4 months ago
2010
We present a technique for rapid capture of high quality bidirectional reflection distribution functions(BRDFs) of surface points. Our method represents the BRDF at each point by ...
209
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ICPP
2000
IEEE
15 years 10 months ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
160
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IJDMB
2008
15 years 6 months ago
2008
: Computational classification of proteins using methods such as string kernels and Fisher-SVM has demonstrated great success. However, the resulting models do not offer an immedia...