Normal Estimation for Pointcloud using GPU based Sparse Tensor Voting Ming Liu, Franc¸ois Pomerleau, Francis Colas, Roland Siegwart Autonomous Systems Lab, ETH Zurich, Switzerland [ming.liu, francois.pomerleau, francis.

Source URL: ram-lab.com

• Dimension reduction
• Multivariate statistics
• Image segmentation
• Multilinear algebra
• Tensor
• General-purpose computing on graphics processing units
• Principal component analysis
• K-nearest neighbors algorithm
• Range segmentation

Local Multidimensional Scaling for Nonlinear Dimension Reduction, Graph Drawing, and Proximity Analysis Lisha CHEN and Andreas BUJA In the past decade there has been a resurgence of interest in nonlinear dimension reduct

Source URL: www.stat.yale.edu

Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection in Multivariate Regression Lisha Chen Department of Statistics Yale University, New Haven, CTemail:

Source URL: www.stat.yale.edu

Article pubs.acs.org/ac Identifying Important Ions and Positions in Mass Spectrometry Imaging Data Using CUR Matrix Decompositions Jiyan Yang,† Oliver Rübel,‡ Prabhat,‡ Michael W. Mahoney,§ and Benjamin P. Bowen

Source URL: www.stat.berkeley.edu

• Matrix theory
• Linear algebra
• Numerical linear algebra
• Multivariate statistics
• Dimension reduction
• Singular value decomposition
• Non-negative matrix factorization
• Matrix decomposition
• Principal component analysis
• Low-rank approximation
• Mass spectrometry
• Rank

Interactive Exploration of Larger Pattern Collections: A Case Study on a Cocktail Dataset

Source URL: poloclub.gatech.edu

• Multivariate statistics
• Statistics
• Dimension reduction
• Data mining
• Information
• Formal sciences
• Dimension
• Nonlinear dimensionality reduction
• Data analysis
• Principal component analysis
• Association rule learning
• Multidimensional scaling

Likelihood-based selection and sharp parameter estimation ∗ Xiaotong Shen, Wei Pan and Yunzhang Zhu Summary In high-dimensional data analysis, feature selection becomes one effective means for dimension reduction, whic

Source URL: users.stat.umn.edu

CS 559: Homework Set 3 Due: November 5, 6:00pm Philippos Mordohai Department of Computer Science Stevens Institute of Technology

Source URL: www.cs.stevens.edu

• Software
• Algebra
• Statistics
• Multivariate statistics
• Linear algebra
• Matrices
• Dimension reduction
• Machine learning
• Matrix
• Linear discriminant analysis
• Principal component analysis
• Statistical classification

Apprentissage non-supervise´ ´ • Typologie de la reduction de dimension ´ • methode

Source URL: www-labs.iro.umontreal.ca

Apprentissage non-supervise´ ´ • Typologie de la reduction de dimension ´ • methode

Source URL: www-labs.iro.umontreal.ca

Dimension Reduction of Image Manifolds Arian Maleki Department of Electrical Engineering Stanford University Stanford, CA, 94305, USA E-mail:

Source URL: cs229.stanford.edu