Sciweavers

959 search results - page 4 / 192
» Modeling Sensorimotor Learning with Linear Dynamical Systems
Sort
View
HYBRID
2000
Springer
13 years 11 months ago
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham
NIPS
2007
13 years 9 months ago
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
NIPS
2000
13 years 9 months ago
Learning Switching Linear Models of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
Vladimir Pavlovic, James M. Rehg, John MacCormick
ICPR
2010
IEEE
14 years 1 months ago
Sparse Coding of Linear Dynamical Systems with an Application to Dynamic Texture Recognition
Given a sequence of observable features of a linear dynamical system (LDS), we propose the problem of finding a representation of the LDS which is sparse in terms of a given dict...
Bernard Ghanem, Narendra Ahuja
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
13 years 8 months ago
Context-dependent predictions and cognitive arm control with XCSF
While John Holland has always envisioned learning classifier systems (LCSs) as cognitive systems, most work on LCSs has focused on classification, datamining, and function appro...
Martin V. Butz, Oliver Herbort