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» Using Gaussian Processes to Optimize Expensive Functions
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ECCV
2004
Springer
14 years 9 months ago
Optimal Importance Sampling for Tracking in Image Sequences: Application to Point Tracking
Abstract. In this paper, we propose a particle filtering approach for tracking applications in image sequences. The system we propose combines a measurement equation and a dynamic ...
Étienne Mémin, Elise Arnaud
ESSMAC
2003
Springer
14 years 23 days ago
Analysis of Some Methods for Reduced Rank Gaussian Process Regression
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
Joaquin Quiñonero Candela, Carl Edward Rasm...
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 5 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
FPL
2003
Springer
113views Hardware» more  FPL 2003»
14 years 23 days ago
Non-uniform Segmentation for Hardware Function Evaluation
This paper presents a method for evaluating functions in hardware based on polynomial approximation with non-uniform segments. The novel use of nonuniform segments enables us to ap...
Dong-U Lee, Wayne Luk, John D. Villasenor, Peter Y...
ICASSP
2010
IEEE
13 years 7 months ago
3D shape estimation from silhouettes using mean-shift
In this article, a novel method to accurately estimate 3D surface of objects of interest is proposed. Each ray projected from 2D image plane to 3D space is modelled with the Gauss...
Donghoon Kim, Jonathan Ruttle, Rozenn Dahyot