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NIPS
2003
13 years 8 months ago
Non-linear CCA and PCA by Alignment of Local Models
We propose a non-linear Canonical Correlation Analysis (CCA) method which works by coordinating or aligning mixtures of linear models. In the same way that CCA extends the idea of...
Jakob J. Verbeek, Sam T. Roweis, Nikos A. Vlassis
IJCAI
1989
13 years 7 months ago
Induction in an Abstraction Space: A Form of Constructive Induction
N IN AN ABSTRACTION SPACE: A Form of Constructive Induction George Drastal and Gabor Czako Siemens Research and Technology Laboratories 755 College Rd Princeton, NJ 08540 We repor...
George Drastal, Gabor Czako, Stan Raatz
CVPR
2011
IEEE
13 years 2 months ago
FlowBoost - Appearance Learning from Sparsely Annotated Video
We propose a new learning method which exploits temporal consistency to successfully learn a complex appearance model from a sparsely labeled training video. Our approach consists...
Karim Ali, Francois Fleuret, David Hasler
SAMT
2007
Springer
99views Multimedia» more  SAMT 2007»
14 years 24 days ago
User-Centric Retrieval of Visual Surveillance Content
Abstract—An interactive retrieval method adapted to surveillance video is presented. The approach is formulated as an iterative SVM classification and builds upon the two major ...
Jérôme Meessen, Xavier Desurmont, Chr...
ICCV
2007
IEEE
14 years 8 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...