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» Large Scale Learning of Active Shape Models
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IWANN
2005
Springer
15 years 3 months ago
Load Forecasting Using Fixed-Size Least Squares Support Vector Machines
Based on the Nystr¨om approximation and the primal-dual formulation of Least Squares Support Vector Machines (LS-SVM), it becomes possible to apply a nonlinear model to a large sc...
Marcelo Espinoza, Johan A. K. Suykens, Bart De Moo...
NECO
2008
114views more  NECO 2008»
14 years 9 months ago
A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
Cornelius Weber, Jochen Triesch
78
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ICWS
2009
IEEE
15 years 6 months ago
What are the Problem Makers: Ranking Activities According to their Relevance for Process Changes
Recently, a new generation of adaptive process management technology has emerged, which enables dynamic changes of composite services and process models respectively. This, in tur...
Chen Li, Manfred Reichert, Andreas Wombacher
ATAL
2008
Springer
14 years 11 months ago
A scalable and distributed model for self-organization and self-healing
As the ability to produce a large number of small, simple robotic agents improves, it becomes essential to control the behavior of these agents in such a way that the sum of their...
Michael Rubenstein, Wei-Min Shen
ECCV
2002
Springer
15 years 11 months ago
Hierarchical Shape Modeling for Automatic Face Localization
Many approaches have been proposed to locate faces in an image. There are, however, two problems in previous facial shape models using feature points. First, the dimension of the s...
Ce Liu, Heung-Yeung Shum, Changshui Zhang