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» Multi-Instance Dimensionality Reduction
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COMPGEOM
2009
ACM
14 years 2 months ago
Persistent cohomology and circular coordinates
Nonlinear dimensionality reduction (NLDR) algorithms such as Isomap, LLE and Laplacian Eigenmaps address the problem of representing high-dimensional nonlinear data in terms of lo...
Vin de Silva, Mikael Vejdemo-Johansson
AIPR
2003
IEEE
14 years 1 months ago
Eigenviews for Object Recognition in Multispectral Imaging Systems
We address the problem of representing multispectral images of objects using eigenviews for recognition purposes. Eigenviews have long been used for object recognition and pose es...
Rajeev Ramanath, Wesley E. Snyder, Hairong Qi
CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...
SBBD
2004
94views Database» more  SBBD 2004»
13 years 9 months ago
Visual Analysis of Feature Selection for Data Mining Processes
The amount of data collected in the last decades has become a source of valuable information, allowing organizations to improve their competitiveness. However, the associated data...
Humberto Luiz Razente, Fabio Jun Takada Chino, Mar...
CORR
2010
Springer
145views Education» more  CORR 2010»
13 years 8 months ago
Random Indexing K-tree
Random Indexing K-tree is the combination of two algorithms suited for large scale document clustering. Keywords Random Indexing, K-tree, Dimensionality Reduction, B-tree, Search T...
Christopher M. De Vries, Lance De Vine, Shlomo Gev...