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Št. zadetkov: 8
Multi-task Learning with Gaussian Processes
Chris Williams
Video in druga učna gradiva
Oznake: computer science;machine learning;gaussian processes
We consider the problem of multi-task learning, i.e. the setup where there are multiple related prediction problems (tasks), and we seek to improve predictive performance by sharing information across the different tasks. We address this problem using Gaussian process (GP) predictors, using a model ...
Leto: 2008 Vir: videolectures.net
A Tutorial Introduction to Stochastic Differential Equations: Continuous-time Gaussian Markov Processes
Chris Williams
Video in druga učna gradiva
Oznake: computer science;machine learning;gaussian processes;markov processes
Leto: 2006 Vir: videolectures.net
Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care
Chris Williams
Video in druga učna gradiva
Oznake: medicine;computer science;machine learning;statistical learning
This presentation describes the application of data modelling using Kalman filters to premature baby monitoring.
Leto: 2008 Vir: videolectures.net
Eigenfunctions & Approximation Methods
Chris Williams
Video in druga učna gradiva
Oznake: computer science;machine learning;gaussian processes
Leto: 2006 Vir: videolectures.net
Learning Sprites
Chris Williams
Video in druga učna gradiva
Oznake: computer science;computer vision
A simple and efficient way to model much image and video data is to decompose it into a set of 2-dimensional objects in layers. Each object is characterized by its shape and appearance (as with a "sprite" in computer graphics). Following earlier work on layer decompositions in computer vision (e.g. ...
Leto: 2004 Vir: videolectures.net
Visual Categorization with Bags of Keypoints
Chris Williams
Video in druga učna gradiva
Oznake: computer science;computer vision;machine learning;structured data
We present a novel method for generic visual categorization: the problem of identifying the object content of natural images while generalizing across variations inherent to the object class. This bag of keypoints method is based on vector quantization of affine invariant descriptors of image patche ...
Leto: 2004 Vir: videolectures.net
Multi-Task Learning with Gaussian Processes with Applications to Robot Inverse Dynamics
Chris Williams
Video in druga učna gradiva
Oznake: computer science;machine learning;gaussian processes;multi-task learning
I will discuss multi-task learning, and a number of ways in which transfer between tasks can take place, mainly in a co-kriging (or Gaussian process) framework. I will then go into more detail on multi-task Gaussian process learning of robot inverse dynamics (joint work with Kian Ming Chai, Stefan K ...
Leto: 2009 Vir: videolectures.net
Visual object recognition
Chris Williams
Video in druga učna gradiva
Oznake: computer science;computer vision;object recognition
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 8
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