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» Modelling Smooth Paths Using Gaussian Processes
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ICIP
2001
IEEE
14 years 11 months ago
Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain
Vasily Strela, Javier Portilla, Martin J. Wainwrig...
NIPS
2007
13 years 11 months ago
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
Ruslan Salakhutdinov, Geoffrey E. Hinton
ICIAP
2001
Springer
14 years 10 months ago
Recognition of Shape-Changing Hand Gestures Based on Switching Linear Model
We present a method to track and recognize shape-changing hand gestures simultaneously. The switching linear model using active contour model well corresponds to temporal shapes a...
Mun Ho Jeong, Yoshinori Kuno, Nobutaka Shimada, Yo...
ICASSP
2011
IEEE
13 years 1 months ago
Multiple speaker tracking using a microphone array by combining auditory processing and a gaussian mixture cardinalized probabil
Tracking speakers is an important application in smart environments. Acoustic tracking using microphone arrays is a challenging task due to two major reasons: On the one hand, mul...
Axel Plinge, Daniel Hauschildt, Marius H. Hennecke...
PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
13 years 8 months ago
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
Zhao Xu, Kristian Kersting, Thorsten Joachims