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CVPR
2005
IEEE
14 years 9 months ago
Learning to Track: Conceptual Manifold Map for Closed-Form Tracking
Our objective is to model the visual manifold of object appearance corresponding to geometric transformation. We learn a generative model for object appearance where the appearanc...
Ahmed M. Elgammal
JMLR
2006
140views more  JMLR 2006»
13 years 7 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
13 years 9 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
CJ
2004
110views more  CJ 2004»
13 years 7 months ago
Efficient Parallel Algorithms for Euclidean Distance Transform
A parallel algorithm for Euclidean Distance Transform (EDT) on linear array with reconfigurable pipeline bus system (LARPBS) is presented. For an image with n
Ling Chen, Yi Pan, Yixin Chen, Xiao-hua Xu
ICIP
2004
IEEE
14 years 9 months ago
Sparse representation of images with hybrid linear models
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
Kun Huang, Allen Y. Yang, Yi Ma