Searching for "Computing with subspaces." – sorted by Relevance.
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Robust Subspace Computation Using L1 Norm
- Robust Subspace Computation Using L1 Norm Qifa Ke and Takeo Kanade August 2003 CMU-CS-03
- Cited by 2 (0 self) – Add To MetaCart
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SUBSKY: Efficient computation of skylines in subspaces
- SUBSKY: Efficient Computation of Skylines in Subspaces Yufei Tao Department of Computer Science
- Cited by 10 (1 self) – Add To MetaCart
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Subspaces of computable vector spaces
- SUBSPACES OF COMPUTABLE VECTOR SPACES RODNEY G. DOWNEY, DENIS R. HIRSCHFELDT, ASHER M. KACH
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SKYPEER: Efficient subspace skyline computation over distributed data
- SKYPEER: Efficient Subspace Skyline Computation over Distributed Data Akrivi Vlachou 1∗ , Christos
- Cited by 4 (1 self) – Add To MetaCart
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A block incremental algorithm for computing dominant singular subspaces
- FOR COMPUTING DOMINANT SINGULAR SUBSPACES By CHRISTOPHER G. BAKER A Thesis submitted to the Department
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Non-orthogonal binary subspace and its applications in computer vision
- Non-orthogonal Binary Subspace and its Applications in Computer Vision Hai Tao, Ryan Crabb
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Recursive calculation of dominant singular subspaces
- . Bounds for the accuracy of the computed subspace are provided. Moreover, the analysis of error
- Cited by 3 (1 self) – Add To MetaCart
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Spectral division methods for block generalized Schur decompositions
- of the computed subspaces with little extra cost. 1. Introduction In this paper we provide a different perspective
- Cited by 5 (2 self) – Add To MetaCart
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Parallel algorithms and architectures for subspace based channel estimation for CDMA
- computation of subspaces of the vector space spanned by certain observation vectors. This paper presents
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Parallel domain decomposition methods for stochastic elliptic equations
- computed subspaces”. Based on a careful analysis of the KL expansion we propose and test a grouping
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