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» Variations on U-Shaped Learning
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NIPS
2001
15 years 2 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
93
Voted
AIIDE
2009
15 years 1 months ago
Supporting Dialogue Generation for Story-Based Games
Providing compelling, realistic, immersive game worlds is one of the major goals in modern game design. The presence of unique and interesting dialogue for all of the characters i...
Christopher Michael Kerr, Duane Szafron
98
Voted
WCE
2007
15 years 1 months ago
Neural Networks for Optimal Control of Aircraft Landing Systems
Abstract—In this work we present a variational formulation for a multilayer perceptron neural network. With this formulation any learning task for the neural network is defined ...
Kevin Lau, Roberto Lopez, Eugenio Oñate
142
Voted
ICCV
2007
IEEE
15 years 27 days ago
Efficient Silhouette Extraction with Dynamic Viewpoint
A novel approach is proposed that extends the classical background subtraction method to extract silhouettes from videos in real time with dynamic viewpoint variation caused by ca...
Yueting Zhuang, Cheng Chen
142
Voted
FGR
2011
IEEE
227views Biometrics» more  FGR 2011»
14 years 4 months ago
Warp that smile on your face: Optimal and smooth deformations for face recognition
— In this work, we present novel warping algorithms for full 2D pixel-grid deformations for face recognition. Due to high variation in face appearance, face recognition is consid...
Tobias Gass, Leonid Pishchulin, Philippe Dreuw, He...