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Subspace-Exploration published presentations and documents on DocSlides.

Lossless Dimension Expanders via Linearized Polynomials and Subspace Designs
Lossless Dimension Expanders via Linearized Polynomials and Subspace Designs
by giovanna-bartolotta
Venkat. . Guruswami. , Nicolas Resch and . Chaop...
Guang can Liu Robust Subspace Clustering in High Dimension:
Guang can Liu Robust Subspace Clustering in High Dimension:
by debby-jeon
A Deterministic Result. 1. st. Annual Workshop o...
Noisy Sparse Subspace Clustering with dimension reduction
Noisy Sparse Subspace Clustering with dimension reduction
by alexa-scheidler
Yining Wang. , Yu-Xiang Wang, . Aarti. Singh. Ma...
We saw last the notion of a subspace
We saw last the notion of a subspace
by lindy-dunigan
W. of a vector space . V. . Recall:. Definition:...
Subspace evasive sets
Subspace evasive sets
by alida-meadow
Zeev . Dvir. (Princeton). Shachar. Lovett (IAS)...
DP-space: Bayesian Nonparametric Subspace Clustering with S
DP-space: Bayesian Nonparametric Subspace Clustering with S
by debby-jeon
Asymptotics. Yining Wang. , Jun . zhu. Carnegie M...
Robust Subspace Clustering
Robust Subspace Clustering
by mitsue-stanley
M. Soltanolkotabi E.Elhamifar E.J. Candes. 报告...
Linear Algebra-Vector spaces
Linear Algebra-Vector spaces
by williams
. H. HABEEB RANI. Assistant professor ...
Co-Segmentation of 3D Shapes
Co-Segmentation of 3D Shapes
by welnews
via Subspace Clustering. Ruizhen. Hu . L...
Cartesian k-means Mohammad Norouzi
Cartesian k-means Mohammad Norouzi
by ellena-manuel
David Fleet. We need many clusters. Increasing . ...
Clustering Linear and Nonlinear Manifolds
Clustering Linear and Nonlinear Manifolds
by faustina-dinatale
René Vidal. Center for Imaging Science. Institut...
Generalized Principal Component Analysis
Generalized Principal Component Analysis
by liane-varnes
René Vidal. Center for Imaging Science. Institut...
How Robust are Linear Sketches to Adaptive Inputs?
How Robust are Linear Sketches to Adaptive Inputs?
by tawny-fly
Moritz . Hardt. , David P. Woodruff. IBM Research...
Co-Segmentation of 3D Shapes
Co-Segmentation of 3D Shapes
by test
via Subspace Clustering. Ruizhen. Hu . ...
Communication-Avoiding
Communication-Avoiding
by aaron
Iterative Methods. Erin Carson. UC Berkeley Paral...
Visibility Subspaces
Visibility Subspaces
by min-jolicoeur
: . Uncalibrated Photometric Stereo . with . Shad...
Transposes, vector subspaces
Transposes, vector subspaces
by trish-goza
Daniel Svozil. based on excelent video lectures b...
Tyler
Tyler
by mitsue-stanley
Ambroziak. Ryan Fox. Cs 638-1. 5/3/10. Virtual Ba...
How Robust are Linear Sketches to Adaptive Inputs?
How Robust are Linear Sketches to Adaptive Inputs?
by sherrill-nordquist
Moritz . Hardt. , David P. Woodruff. IBM Research...
An Unbiased Distance-based Outlier Detection Approach for H
An Unbiased Distance-based Outlier Detection Approach for H
by test
DASFAA 2011. By. Hoang Vu Nguyen, . Vivekanand. ...
1 Morteza
1 Morteza
by pasty-toler
. Mardani. , Gonzalo . Mateos. and . Georgios. ...
Visibility Subspaces
Visibility Subspaces
by tatyana-admore
: . Uncalibrated Photometric Stereo . with . Shad...
Subspace S is orthogonal to subspace T means: every vector in S is ort
Subspace S is orthogonal to subspace T means: every vector in S is ort
by kittie-lecroy
T y = In the plane, the space containing only the...
1 Chapter Content
1 Chapter Content
by luanne-stotts
Real Vector Spaces. Subspaces. Linear Independenc...
1 Lecture 15: Least Square Regression
1 Lecture 15: Least Square Regression
by madeline
Metric . Embeddings. COMS E6998-9. . F15. Adminis...
The Complexity of Unsupervised
The Complexity of Unsupervised
by candy
Learning. Santosh . Vempala. , Georgia Tech. Unsup...
Maximum vanishing subspace problem,
Maximum vanishing subspace problem,
by willow
CAT(0)-space relaxation, and . block-. triangulari...
Face/Flesh Detection and Face Recognition
Face/Flesh Detection and Face Recognition
by sophie
Linda Shapiro. ECE P 596. 1. What’s Coming. Revi...
Fast RBF Algorithms Main tasks performed
Fast RBF Algorithms Main tasks performed
by norah
Solving the linear system. Evaluating the summatio...
Recognition: Face Recognition
Recognition: Face Recognition
by genderadidas
Linda Shapiro. CSE 455. 1. Face recognition: once ...
Chapter 4 Vector Spaces
Chapter 4 Vector Spaces
by alexa-scheidler
4.1 Vectors in . R. n. 4.2 Vector Spaces. 4.3 ...
A m inimal subspace rotation
A m inimal subspace rotation
by trish-goza
approach for obtaining stable &. accurate lo...
Exploiting Low-Rank Structure in Computing Matrix
Exploiting Low-Rank Structure in Computing Matrix
by pasty-toler
Powers. . with Applications . to Preconditioning...
Ankit G arg Princeton Univ.
Ankit G arg Princeton Univ.
by test
Joint work with. . Leonid . G. urvits. ...
Avoiding Synchronization in Geometric
Avoiding Synchronization in Geometric
by alida-meadow
Multigrid. Erin . C. . Carson. 1. Samuel Williams...
Avoiding Synchronization in Geometric
Avoiding Synchronization in Geometric
by cheryl-pisano
Multigrid. Erin . C. . Carson. 1. Samuel Williams...
Linear sketching for Functions over Boolean Hypercube
Linear sketching for Functions over Boolean Hypercube
by lindy-dunigan
Grigory. . Yaroslavtsev. (Indiana University, Bl...
Chapter 3 - 4 = Euclidean & General
Chapter 3 - 4 = Euclidean & General
by trish-goza
Vector Spaces. MATH . 264 Linear . Algebra. Intro...
Compressive spectral anomaly detection
Compressive spectral anomaly detection
by aaron
Vishwanath Saragadam . , Jian Wang, . Xin Li, . A...
A minimal subspace rotation approach for extreme model reduction in fluid
A minimal subspace rotation approach for extreme model reduction in fluid
by tatyana-admore
mechanics. Irina Tezaur. 1. , . Maciej. Balajew...