Call for Papers ---------------------------------------------------------------------- Subspace 2010 -- The 3rd International Workshop on Subspace Methods November 9, 2010, in conjunction with ACCV2010, Queenstown, New Zealand http://www.cvlab.cs.tsukuba.ac.jp/~subspace/ss2010/ ---------------------------------------------------------------------- Dates (tentative): Paper submission deadline Aug 20 2010 Notification of acceptance Sep 25 2010 Camera ready due Oct 5 2010 Workshop date Nov 9 2010 GOAL OF THE WORKSHOP The goal of the workshop is to share the potential of subspace methods with researchers working on various problems in computer vision and pattern recognition, and to encourage interactions which could lead to further developments of subspace methods. Both the fundamental theories of subspace methods and their applications in computer vision will be discussed at the workshop. SUBSPACE METHODS Subspace methods have been used as a practical methodology in a large variety of real applications. Also they have been studied intensively, in particular, in the field of character recognition, contributing to a number of commercial optical character recognition systems. During the last three decades, the area has become one of the most successful underpinnings of diverse applications such as classification, recognition, pose estimation, motion estimation, etc. At the same time, there are many new and evolving research topics: nonlinear methods including kernel methods, manifold learning, subspace update and tracking. We expect that the workshop could accelerate the stream, by providing the place to share the potential of subspace methods with researchers working on various problems in computer vision and pattern recognition, and encouraging interactions which could lead to further developments of subspace methods. PROCEEDINGS Post-conference proceedings will be published in Springer's Lecture Notes in Computer Science (both printed and electronic forms). Also, on-site electronic copy will be available at ACCV. SCOPE The topics of interest include, but are not limited to, the following: - Theory PCA, LDA, CCA, FA, ICA, etc (linear, nonlinear/kernelized), multivariate analysis Tensor and multilinear representations CLAFIC, mutual subspace methods, eigenspace methods Nonlinear subspace methods, including kernel methods Manifold learning Similarity measures with subspaces Iijima equation, degenerated Gaussians, geometry of subspaces, etc. - Subspaces in various problems Factorization methods, 3D geometry, local features, photometry and Illumination constraints, analytic manifolds, etc. - Applications Object recognition, face recognition, gesture recognition, character recognition, motion analysis, scene analysis, robot vision, biometrics, anomaly detection, data visualization, other novel applications. Organizers: David Suter (The University of Adelaide, Australia) Kazuhiro Fukui (University of Tsukuba, Japan) Toru Tamaki (Hiroshima University, Japan)