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» Computing the Dimension of Linear Subspaces
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IS
2008
14 years 11 months ago
Continuous subspace clustering in streaming time series
Performing data mining tasks in streaming data is considered a challenging research direction, due to the continuous data evolution. In this work, we focus on the problem of clust...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
ICCV
1999
IEEE
16 years 1 months ago
Multi-View Subspace Constraints on Homographies
The motion of a planar surface between two camera views induces a homography. The homography depends on the cameraintrinsic and extrinsic parameters, as well as on the 3D plane pa...
Lihi Zelnik-Manor, Michal Irani
STOC
2009
ACM
143views Algorithms» more  STOC 2009»
16 years 9 days ago
Affine dispersers from subspace polynomials
An affine disperser over Fn 2 for sources of dimension d is a function f : Fn 2 F2 such that for any affine space S Fn 2 of dimension at least d, we have {f(s) : s S} = F2. Aff...
Eli Ben-Sasson, Swastik Kopparty
ICML
2007
IEEE
16 years 15 days ago
Regression on manifolds using kernel dimension reduction
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
Jens Nilsson, Fei Sha, Michael I. Jordan
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 3 days ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...