We address the problem of recovering 3D human pose from single 2D images, in which the pose estimation problem is formulated as a direct nonlinear regression from image observation…
1. CVPR 2004 TUTORIAL ONNONLINEAR MANIFOLDS IN COMPUTER VISIONAnuj Srivastava∗ , Washington Mio∗∗ and Xiuwen Liu∗∗∗∗Department of Statistics ∗∗Department…
1. Sparse Representations for PacketizedPredictive Networked ControlMasaaki Nagahara (Kyoto Univ.) Daniel E. Quevedo (The Univ. of Newcastle) 2. Networked Control in Sparse…
Journal of Machine Learning Research 1 (2000) x-xx Submitted 4/00; Published 10/00 Lasso Screening Rules via Dual Polytope Projection Jie Wang [email protected] Peter…
1. Scale Saliency:Applications in Visual Matching,Tracking and View-Based Object Recognition Jonathon S. Hare and Paul H. Lewis Intelligence,Agents, Multimedia Group Department…
ar X iv :1 00 5. 56 97 v1 [ ma th. ST ] 31 M ay 20 10 1 Unbiased Estimation of a Sparse Vector in White Gaussian Noise Alexander Junga, Zvika Ben-Haimb, Franz Hlawatscha,…
Slide 1 Submodular Dictionary Selection for Sparse Representation Volkan Cevher [email protected] Laboratory for Information and Inference Systems - LIONS & Idiap…
Slide 1 Deep Learning – An Introduction Aaron Crandall, 2015 Slide 2 What is Deep Learning? Architectures with more mathematical transformations from source to target Sparse…
Slide 1 Sparse Representations and the Basis Pursuit Algorithm* Michael Elad The Computer Science Department – Scientific Computing & Computational mathematics (SCCM)…