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NIPS
2007
15 years 8 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
SEDE
2007
15 years 8 months ago
A software tool for optimal class-hierarchy design based on the use-relationship among functions and variables
We present a software tool for creating an optimal classhierarchy from the use-relationship among data-items and functions based on the method in Kundu and Gwee [3]. The tool dete...
Nigel Gwee, Sukhamay Kundu
EACL
2003
ACL Anthology
15 years 8 months ago
Neural Network Probability Estimation for Broad Coverage Parsing
We present a neural-network-based statistical parser, trained and tested on the Penn Treebank. The neural network is used to estimate the parameters of a generative model of left-...
James Henderson
WSCG
2004
163views more  WSCG 2004»
15 years 8 months ago
Information Retrieval of Color Images via Wavelets
This paper focuses on a novel framework for information retrieval of images based only on color information. Regions homogeneous in color of the input image are detected using a m...
Domenico Vitulano, Fadil Santosa
IM
1997
15 years 8 months ago
Immersive and Non-immersive Virtual Reality Techniques Applied to Telecommunication Network Management
In this paper, we will introduce two different three dimensional VR-based user interface for telecommunication network management. The first one is an immersive system, using HMD ...
Mohsen Kahani, H. W. Peter Beadle