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MCS
2005
Springer
15 years 3 months ago
Mixture of Gaussian Processes for Combining Multiple Modalities
This paper describes a unified approach, based on Gaussian Processes, for achieving sensor fusion under the problematic conditions of missing channels and noisy labels. Under the ...
Ashish Kapoor, Hyungil Ahn, Rosalind W. Picard
DEXA
1998
Springer
119views Database» more  DEXA 1998»
15 years 2 months ago
Building Consistent Sample Databases to Support Information System Evolution and Migration
Prototype databases are needed in any information system development process to support data-intensive applications development. It is common practice to populate these databases u...
Jesus Bisbal, Bing Wu, Deirdre Lawless, Jane Grims...
PAMI
2010
238views more  PAMI 2010»
14 years 8 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
NIPS
2007
14 years 11 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
ECCV
2002
Springer
15 years 11 months ago
Parsing Images into Region and Curve Processes
Abstract. Natural scenes consist of a wide variety of stochastic patterns. While many patterns are represented well by statistical models in two dimensional regions as most image s...
Zhuowen Tu, Song Chun Zhu