1956 search results - page 111 / 392 » Learning the Relative Importance of Features in Image Data |
145
Voted
MM
2004
ACM
15 years 9 months ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
176
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CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
136
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Proportional data (normalized histograms) have been frequently occurring in various areas, and they could be mathematically abstracted as points residing in a geometric simplex. A...
144
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CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
The visual world demonstrates organized spatial patterns,
among objects or regions in a scene, object-parts
in an object, and low-level features in object-parts. These
classes o...
128
Voted
INCDM
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. Character design is a key ingredient to the success of any comicbook, graphic novel, or animated feature. Artists typically use shape, size and proportion as the first de...