Domain Adaptation with Good Edit Similarities: a Sparse Way to deal with Scaling and Rotation Problems in Image Classification Amaury Habrard University of Aix-Marseille Laboratoire d’Informatique Fondamentale UMR CNRS

Source URL: laboratoirehubertcurien.fr

• Learning
• Machine learning
• Ensemble learning
• Support vector machine
• AdaBoost
• Levenshtein distance
• Linear classifier
• Statistics
• Statistical classification
• Artificial intelligence

SUPANOVA - A Sparse, Transparent Modelling Approach Steve R. Gunn† and Martin Brown‡ † Image, Speech and Intelligent Systems Group Department of Electronics and Computer Science

Source URL: users.ecs.soton.ac.uk

GEOPHYSICS, VOL. 80, NO. 6 (NOVEMBER-DECEMBER 2015); P. 1–8, 10 FIGSGEO2015Nonminimum phase deconvolution in the log domain: A sparse inversion approach

Source URL: sep.stanford.edu

• Applied mathematics
• Deconvolution
• Estimation theory
• Blind deconvolution
• Mathematics
• Wavelet
• Electrical engineering
• Mexican hat wavelet
• Regularization
• Signal processing
• Image processing
• Numerical analysis

1 Robust Visual Tracking and Vehicle Classification via Sparse Representation Xue Mei and Haibin Ling, Member, IEEE Abstract—In this paper, we propose a robust visual tracking method by casting tracking as a sparse ap

Source URL: www.dabi.temple.edu

• Computing
• Image processing
• Vision
• Mixed reality
• Video tracking
• Object recognition
• Template
• Segmentation
• Particle filter
• Software engineering
• Computer vision
• Tracking

Image and Vision Computing–991 Contents lists available at ScienceDirect Image and Vision Computing journal homepage: www.elsevier.com/locate/imavis

Source URL: cvgl.stanford.edu

• Sparse matrix
• Matrix
• Mathematics
• Artificial intelligence
• Applied mathematics
• Numerical linear algebra
• Sparse approximation
• Machine learning

ImageNet classification: fast descriptor coding and large-scale SVM training Yuanqing Lin, Fengjun Lv, Shenghuo Zhu, Ming Yang, Timothee Cour, Kai Yu LiangLiang Cao, Zhen Li, Min-Hsuan Tsai,

Source URL: www.image-net.org

• Statistical classification
• Support vector machine
• Sparse coding

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Additive Noise Removal by Sparse Reconstruction on Imagae Affinity Nets

Source URL: www.merl.com

• Noise
• Electronics
• Image denoising
• Spatial data analysis
• Computer vision
• Noise reduction
• Peak signal-to-noise ratio
• K-means clustering
• Computer cluster
• Image processing
• Statistics
• Computing

1 Illumination Recovery from Image with Cast Shadows via Sparse Representation Xue Mei, Haibin Ling, Member, IEEE, and David W. Jacobs, Member, IEEE Abstract—In this paper, we propose using sparse representation for r

Source URL: www.dabi.temple.edu

• Imaging
• Lighting
• Virtual reality
• Computer vision
• Precomputed Radiance Transfer
• Illumination
• Light field
• Rendering
• Shading
• 3D computer graphics
• Optics
• Computer graphics

1 Image Decomposition Via the Combination of Sparse Representations and a Variational Approach

Source URL: jstarck.free.fr

• Unitary operators
• Integral transforms
• Image processing
• Wavelets
• Curvelet
• Lambda calculus
• Fourier transform
• Matching pursuit
• Basis pursuit denoising
• Mathematical analysis
• Mathematics
• Fourier analysis

Combinatorial Preconditioners and Multilevel Solvers for Problems in Computer Vision and Image Processing Ioannis Koutis CSD-UPRRP

Source URL: ccom.uprrp.edu

• Mathematical analysis
• Multigrid method
• Numerical analysis
• Wavelets
• Applied mathematics
• Preconditioner
• Graph theory
• Mathematical optimization
• Sparse matrix
• Mathematics
• Numerical linear algebra
• Operations research