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» Learning nonlinear dynamic models
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MM
2005
ACM
209views Multimedia» more  MM 2005»
14 years 2 months ago
Learning an image-word embedding for image auto-annotation on the nonlinear latent space
Latent Semantic Analysis (LSA) has shown encouraging performance for the problem of unsupervised image automatic annotation. LSA conducts annotation by keywords propagation on a l...
Wei Liu, Xiaoou Tang
ICML
2004
IEEE
14 years 9 months ago
Robust feature induction for support vector machines
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
Rong Jin, Huan Liu
HICSS
2003
IEEE
98views Biometrics» more  HICSS 2003»
14 years 1 months ago
On the Limits of Bottom-Up Computer Simulation: Towards a Nonlinear Modeling Culture
1 In the complexity and simulation communities there is growing support for the use of bottom-up computer-based simulation in the analysis of complex systems. The presumption is th...
Kurt A. Richardson
NIPS
2003
13 years 9 months ago
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
Radford M. Neal, Matthew J. Beal, Sam T. Roweis
HAPTICS
2010
IEEE
13 years 7 months ago
Force-Based Calibration of a Particle System for Realistic Simulation of Nonlinear and Viscoelastic Soft Tissue Behavior
We present a new approach for realistic visio-haptic simulation of nonlinear and viscoelastic behavior of an organ tissue using a particle model. The spring and damper coefficients...
Bektas Baybora Baran, Cagatay Basdogan