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101
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CVPR
2006
IEEE
16 years 2 months ago
Modeling Correspondences for Multi-Camera Tracking Using Nonlinear Manifold Learning and Target Dynamics
Multi-camera tracking systems often must maintain consistent identity labels of the targets across views to recover 3D trajectories and fully take advantage of the additional info...
Vlad I. Morariu, Octavia I. Camps
134
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ACL
2006
15 years 1 months ago
Combining Statistical and Knowledge-Based Spoken Language Understanding in Conditional Models
Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very...
Ye-Yi Wang, Alex Acero, Milind Mahajan, John Lee
101
Voted
ISNN
2007
Springer
15 years 6 months ago
Sparse Coding in Sparse Winner Networks
This paper investigates a mechanism for reliable generation of sparse code in a sparsely connected, hierarchical, learning memory. Activity reduction is accomplished with local com...
Janusz A. Starzyk, Yinyin Liu, David D. Vogel
99
Voted
IJON
2002
154views more  IJON 2002»
15 years 7 days ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec
111
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ICRA
1995
IEEE
151views Robotics» more  ICRA 1995»
15 years 4 months ago
Learning Impedance Control for Robotic Manipulators
—Learning control is a concept for controlling dynamic systems in an iterative manner. It arises from the recognition that robotic manipulators are usually used to perform repeti...
Chien-Chern Cheah, Danwei Wang