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» Resampling methods for input modeling
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ICML
2006
IEEE
16 years 4 months ago
Online decoding of Markov models under latency constraints
The Viterbi algorithm is an efficient and optimal method for decoding linear-chain Markov Models. However, the entire input sequence must be observed before the labels for any tim...
Mukund Narasimhan, Paul A. Viola, Michael Shilman
SIAMAM
2008
170views more  SIAMAM 2008»
15 years 3 months ago
Absolute Stability and Complete Synchronization in a Class of Neural Fields Models
Neural fields are an interesting option for modelling macroscopic parts of the cortex involving several populations of neurons, like cortical areas. Two classes of neural field equ...
Olivier D. Faugeras, François Grimbert, Jea...
88
Voted
CVPR
2008
IEEE
16 years 5 months ago
Volumetric reconstruction from multi-energy single-view radiography
We address the volumetric reconstruction problem that takes as input a series of orthographic multi-energy x-ray images, producing as output a reconstructed model space consisting...
Sang N. Le, Mei Kay Lee, Shamima Banu, Anthony C. ...
109
Voted
IROS
2006
IEEE
100views Robotics» more  IROS 2006»
15 years 9 months ago
Gait Generation for Passive Running via Iterative Learning Control
Abstract— This paper proposes a novel framework to generate optimal passive gait trajectories for a planar one-legged hopping robot via iterative learning control. The proposed m...
Satoshi Satoh, Kenji Fujimoto, Sang-Ho Hyon
99
Voted
CEC
2005
IEEE
15 years 9 months ago
Two-layered face detection system using evolutionary algorithm
This paper proposes a novel face detection method based on Principal Component Analysis (PCA) and Evolutionary Algorithm (EA). In a view-based approach to face detection, the face ...
Jun-Su Jang, Jong-Hwan Kim