1956 search results - page 70 / 392 » Learning the Relative Importance of Features in Image Data |
126
Voted
IDA
2009
Springer
15 years 10 months ago
2009
Springer
We present a novel extension to Independent Component Analysis (ICA), where the data is generated as the product of two submodels, each of which follow an ICA model, and which comb...
131
Voted
ICDM
2005
IEEE
15 years 9 months ago
2005
IEEE
The notion of relations is extremely important in mathematics. In this paper, we use relations to describe the embedding problem and propose a novel stochastic relational model fo...
138
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
A key aspect of semantic image segmentation is to integrate local and global features for the prediction of local segment labels. We present an approach to multi-class segmentatio...
109
Voted
CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
167
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PSIVT
2009
Springer
15 years 10 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...