Sciweavers

303 search results - page 13 / 61
» Gaussian Process Change Point Models
Sort
View
ICTAI
2005
IEEE
15 years 3 months ago
Latent Process Model for Manifold Learning
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
Gang Wang, Weifeng Su, Xiangye Xiao, Frederick H. ...
ICASSP
2008
IEEE
15 years 4 months ago
Hierarchical lane detection for different types of roads
This paper presents a hierarchical lane detection system with the ability to deal with both structured and unstructured roads. The proposed system classifies the environment first...
Hsu-Yung Cheng, Chih-Chang Yu, Chien-Cheng Tseng, ...
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
15 years 11 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
112
Voted
CGF
2010
171views more  CGF 2010»
14 years 6 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu
NIPS
2004
14 years 11 months ago
Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters
We present a generative model and stochastic filtering algorithm for simultaneous tracking of 3D position and orientation, non-rigid motion, object texture, and background texture...
Tim K. Marks, John R. Hershey, J. Cooper Roddey, J...