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ICCV
2007
IEEE
16 years 1 months ago
Chaotic Invariants for Human Action Recognition
The paper introduces an action recognition framework that uses concepts from the theory of chaotic systems to model and analyze nonlinear dynamics of human actions. Trajectories o...
Saad Ali, Arslan Basharat, Mubarak Shah
CDC
2008
IEEE
170views Control Systems» more  CDC 2008»
15 years 5 months ago
Modeling and control of the protein synthesis process in eukaryotic cells
— Protein synthesis is an essential process of cell cycle and growth in eukaryotic cells. The initiation stage of the translation process is known to be the most crucial in regul...
Nadav S. Bar, Rahmi Lale
ICPR
2002
IEEE
15 years 4 months ago
Stochastic Filtering for Motion Trajectory in Image Sequences Using a Monte Carlo Filter with Estimation of Hyper-Parameters
False matching due to errors in feature extraction and changes in illumination between frames may occur in feature tracking in image sequences. False matching leads to outliers in...
Naoyuki Ichimura
NN
2006
Springer
14 years 11 months ago
Propagation and control of stochastic signals through universal learning networks
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
Kotaro Hirasawa, Shingo Mabu, Jinglu Hu
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 3 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn