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» Diffeomorphic Dimensionality Reduction
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ICIAP
2003
ACM
14 years 2 months ago
Multi-block PCA method for image change detection
Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...
B. Qiu, Véronique Prinet, Edith Perrier, Ol...
ECCV
2010
Springer
14 years 2 months ago
Convex Relaxation for Multilabel Problems with Product Label Spaces
Convex relaxations for continuous multilabel problems have attracted a lot of interest recently [1–5]. Unfortunately, in previous methods, the runtime and memory requirements sca...
CVPR
2010
IEEE
14 years 2 months ago
Anatomical Parts-Based Regression Using Non-Negative Matrix Factorization
Non-negative matrix factorization (NMF) is an excellent tool for unsupervised parts-based learning, but proves to be ineffective when parts of a whole follow a specific pattern. ...
Swapna Joshi, Karthikeyan Shanmugavadivel, B.S. Ma...
COMPGEOM
2010
ACM
14 years 2 months ago
Optimal reconstruction might be hard
Sampling conditions for recovering the homology of a set using topological persistence are much weaker than sampling conditions required by any known algorithm for producing a top...
Dominique Attali, André Lieutier
ICDE
2002
IEEE
162views Database» more  ICDE 2002»
14 years 2 months ago
Similarity Search Over Time-Series Data Using Wavelets
We consider the use of wavelet transformations as a dimensionality reduction technique to permit efficient similarity search over high-dimensional time-series data. While numerou...
Ivan Popivanov, Renée J. Miller