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» Nonlinear dynamics in neural computation
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CVPR
2007
IEEE
16 years 3 months ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 6 months ago
Active Guidance for a Finless Rocket Using Neuroevolution
Finless rockets are more efficient than finned designs, but are too unstable to fly unassisted. These rockets require an active guidance system to control their orientation durin...
Faustino J. Gomez, Risto Miikkulainen
ICRA
2002
IEEE
168views Robotics» more  ICRA 2002»
15 years 6 months ago
A Dynamical Systems Approach to Behavior-Based Formation Control
Dynamical systems theory is used here as a theoretical language and tool to design a distributed control archictecture that generates navigation in formation, integrated with obst...
Sergio Monteiro, Estela Bicho
MICRO
2007
IEEE
167views Hardware» more  MICRO 2007»
15 years 7 months ago
Informed Microarchitecture Design Space Exploration Using Workload Dynamics
Program runtime characteristics exhibit significant variation. As microprocessor architectures become more complex, their efficiency depends on the capability of adapting with wor...
Chang-Burm Cho, Wangyuan Zhang, Tao Li
NIPS
2008
15 years 2 months ago
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...