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112
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NIPS
2001
15 years 5 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
129
Voted
SIGDIAL
2010
15 years 1 months ago
Advances in the Witchcraft Workbench Project
The Workbench for Intelligent exploraTion of Human ComputeR conversaTions is a new platform-independent open-source workbench designed for the analysis, mining and management of l...
Alexander Schmitt, Wolfgang Minker, Nada Sharaf
158
Voted
BMCBI
2010
176views more  BMCBI 2010»
15 years 3 months ago
Reverse engineering gene regulatory network from microarray data using linear time-variant model
nd: Gene regulatory network is an abstract mapping of gene regulations in living cells that can help to predict the system behavior of living organisms. Such prediction capability...
Mitra Kabir, Nasimul Noman, Hitoshi Iba
151
Voted
UAI
2004
15 years 5 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...
271
Voted
GIS
2008
ACM
16 years 4 months ago
Fast and extensible building modeling from airborne LiDAR data
This paper presents an automatic algorithm which reconstructs building models from airborne LiDAR (light detection and ranging) data of urban areas. While our algorithm inherits t...
Qian-Yi Zhou, Ulrich Neumann