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» An Algorithm for Intrinsic Dimensionality Estimation
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124
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PR
2007
325views more  PR 2007»
15 years 3 months ago
Fingerprint enhancement using STFT analysis
Contrary to popular belief, despite decades of research in fingerprints, reliable fingerprint recognition is still an open problem. Extracting features out of poor quality print...
Sharat Chikkerur, Alexander N. Cartwright, Venu Go...
147
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GRC
2008
IEEE
15 years 4 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li
122
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CGF
2002
129views more  CGF 2002»
15 years 3 months ago
Efficient Multidimensional Sampling
Image synthesis often requires the Monte Carlo estimation of integrals. Based on a generalized concept of stratification we present an efficient sampling scheme that consistently ...
Thomas Kollig, Alexander Keller
150
Voted
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 4 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
ECCV
2006
Springer
16 years 5 months ago
A General Framework for Motion Segmentation: Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate
Abstract. We cast the problem of motion segmentation of feature trajectories as linear manifold finding problems and propose a general framework for motion segmentation under affin...
Jingyu Yan, Marc Pollefeys