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NIPS
1997
15 years 8 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
WWW
2009
ACM
16 years 7 months ago
Anycast-aware transport for content delivery networks
Anycast-based content delivery networks (CDNs) have many properties that make them ideal for the large scale distribution of content on the Internet. However, because routing chan...
Zakaria Al-Qudah, Seungjoon Lee, Michael Rabinovic...
JSAC
2006
140views more  JSAC 2006»
15 years 6 months ago
Backup reprovisioning to remedy the effect of multiple link failures in WDM mesh networks
As networks grow in size and complexity, both the probability and the impact of failures increase. The pre-allocated backup bandwidth, which has been widely investigated in the lit...
Jing Zhang, Keyao Zhu, Biswanath Mukherjee
IJCNN
2006
IEEE
16 years 19 days ago
Correntropy: A Localized Similarity Measure
—The measure of similarity normally utilized in statistical signal processing is based on second order moments. In this paper, we reveal the probabilistic meaning of correntropy ...
Weifeng Liu, Puskal P. Pokharel, Jose C. Principe
IJCNN
2006
IEEE
16 years 19 days ago
Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement
— In this paper we present a method of sequential speech enhancement, where we infer clean speech signal using a Rao-Blackwellized particle filter (RBPF), given a noisecontamina...
Sunho Park, Seungjin Choi