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» Neural networks: Algorithms and applications
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216
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IJCNN
2006
IEEE
16 years 1 months ago
A Monte Carlo Sequential Estimation for Point Process Optimum Filtering
— Adaptive filtering is normally utilized to estimate system states or outputs from continuous valued observations, and it is of limited use when the observations are discrete e...
Yiwen Wang 0002, António R. C. Paiva, Jose ...
173
Voted
GECCO
2009
Springer
16 years 2 days ago
NEAT in increasingly non-linear control situations
Evolution of neural networks, as implemented in NEAT, has proven itself successful on a variety of low-level control problems such as pole balancing and vehicle control. Nonethele...
Matthias J. Linhardt, Martin V. Butz
282
Voted
ECCV
2004
Springer
16 years 9 months ago
A Biologically Motivated and Computationally Tractable Model of Low and Mid-Level Vision Tasks
This paper presents a biologically motivated model for low and mid-level vision tasks and its interpretation in computer vision terms. Initially we briefly present the biologically...
Iasonas Kokkinos, Rachid Deriche, Petros Maragos, ...
174
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ECML
2003
Springer
16 years 20 days ago
Support Vector Machines with Example Dependent Costs
Abstract. Classical learning algorithms from the fields of artificial neural networks and machine learning, typically, do not take any costs into account or allow only costs depe...
Ulf Brefeld, Peter Geibel, Fritz Wysotzki
ICANN
2005
Springer
16 years 1 months ago
Fast Color-Based Object Recognition Independent of Position and Orientation
Small mobile robots typically have little on-board processing power for time-consuming vision algorithms. Here we show how they can quickly extract very dense yet highly useful inf...
Martijn van de Giessen, Jürgen Schmidhuber