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AAAI
2010
15 years 9 months ago
Fast Algorithms for Top-k Approximate String Matching
Top-k approximate querying on string collections is an important data analysis tool for many applications, and it has been exhaustively studied. However, the scale of the problem ...
Zhenglu Yang, Jianjun Yu, Masaru Kitsuregawa
NIPS
2008
15 years 9 months ago
Estimating vector fields using sparse basis field expansions
We introduce a novel framework for estimating vector fields using sparse basis field expansions (S-FLEX). The notion of basis fields, which are an extension of scalar basis functi...
Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Kla...
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NIPS
2008
15 years 9 months ago
Deflation Methods for Sparse PCA
In analogy to the PCA setting, the sparse PCA problem is often solved by iteratively alternating between two subtasks: cardinality-constrained rank-one variance maximization and m...
Lester Mackey
NIPS
2008
15 years 9 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
MVA
2007
160views Computer Vision» more  MVA 2007»
15 years 9 months ago
Probabilistic Motion Segmentation of Videos for Temporal Super Resolution
A novel scheme is proposed for achieving motion segmentation in low-frame rate videos, with application to temporal super resolution. Probabilistic generative models are commonly ...
Arasanathan Thayananthan, Masahiro Iwasaki, Robert...