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» Incremental Subspace Learning for Cognitive Visual Processes
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NIPS
2004
13 years 7 months ago
Incremental Learning for Visual Tracking
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hs...
ECCV
2008
Springer
14 years 8 months ago
Robust Visual Tracking Based on an Effective Appearance Model
Most existing appearance models for visual tracking usually construct a pixel-based representation of object appearance so that they are incapable of fully capturing both global an...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang
ICIP
2005
IEEE
14 years 8 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
IEEEICCI
2003
IEEE
13 years 11 months ago
Analogy of Incremental Program Development and Constructivist Learning
During software evolution, programmers add new functionalities and release new versions of software. This complicated work involves not only program development but also learning ...
Václav Rajlich, Shaochun Xu
ICASSP
2009
IEEE
13 years 4 months ago
Target detection using incremental learning on single-trial evoked response
The human neural responses associated with cognitive events, referred as event related potentials (ERPs), can provide reliable inference for target image detection. Incremental le...
Yonghong Huang, Deniz Erdogmus, Misha Pavel, Kenne...