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» Using Gaussian Processes to Optimize Expensive Functions
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ICASSP
2011
IEEE
12 years 11 months ago
Gaussian mixture modeling for source localization
Exploiting prior knowledge, we use Bayesian estimation to localize a source heard by a fixed sensor network. The method has two main aspects: Firstly, the probability density fun...
John T. Flåm, Joakim Jalden, Saikat Chatterj...
ICASSP
2011
IEEE
12 years 11 months ago
Arccosine kernels: Acoustic modeling with infinite neural networks
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
Chih-Chieh Cheng, Brian Kingsbury
CSREASAM
2006
13 years 9 months ago
Application of Gaussian Estimation for Devising Reliable Vulnerability Assessment on SIP-based VoIP Infrastructure
The Session Initiation Protocol (SIP) is an application-layer protocol commonly used in VoIP for communication over the Internet. In this paper we describe a method to assess a pa...
Mohammad Chowdhury, Bon Sy, Rasheed Ahmad
ICRA
2007
IEEE
155views Robotics» more  ICRA 2007»
14 years 1 months ago
Value Function Approximation on Non-Linear Manifolds for Robot Motor Control
— The least squares approach works efficiently in value function approximation, given appropriate basis functions. Because of its smoothness, the Gaussian kernel is a popular an...
Masashi Sugiyama, Hirotaka Hachiya, Christopher To...
ICASSP
2011
IEEE
12 years 11 months ago
Distributed Gaussian particle filtering using likelihood consensus
We propose a distributed implementation of the Gaussian particle filter (GPF) for use in a wireless sensor network. Each sensor runs a local GPF that computes a global state esti...
Ondrej Hlinka, Ondrej Sluciak, Franz Hlawatsch, Pe...