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» Twin Gaussian Processes for Structured Prediction
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IJCV
2010
127views more  IJCV 2010»
13 years 3 months ago
Twin Gaussian Processes for Structured Prediction
Liefeng Bo, Cristian Sminchisescu
NIPS
2007
13 years 6 months ago
Robust Regression with Twinned Gaussian Processes
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
Andrew Naish-Guzman, Sean B. Holden
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 2 months ago
Gaussian Process Structural Equation Models with Latent Variables
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
Ricardo Silva
ECML
2007
Springer
13 years 10 months ago
Source Separation with Gaussian Process Models
In this paper we address a method of source separation in the case where sources have certain temporal structures. The key contribution in this paper is to incorporate Gaussian pro...
Sunho Park, Seungjin Choi
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 2 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava