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IJCNN
2006
IEEE
14 years 3 months ago
Nonlinear principal component analysis of noisy data
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...
William W. Hsieh
IROS
2006
IEEE
121views Robotics» more  IROS 2006»
14 years 3 months ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao
CORR
2007
Springer
110views Education» more  CORR 2007»
13 years 9 months ago
Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting
The problem of recovering the sparsity pattern of a fixed but unknown vector β∗ ∈ Rp based on a set of n noisy observations arises in a variety of settings, including subset...
Martin J. Wainwright
ICIP
2009
IEEE
13 years 7 months ago
Robust object tracking using correspondence voting for smart surveillance visual sensing nodes
This paper presents a bottom-up tracking algorithm for surveillance applications where speed and reliability in the case of multiple matches and occlusions are major concerns. The...
Mayssaa Al Najjar, Soumik Ghosh, Magdy Bayoumi
ICWE
2004
Springer
14 years 3 months ago
Modeling the Structure of Web Applications with ArgoUWE
The UWE methodology provides a systematic, UML-based approach for the development of Web applications. The CASE tool ArgoUWE supports the design phase of the UWE development proces...
Alexander Knapp, Nora Koch, Gefei Zhang