Sciweavers

177 search results - page 17 / 36
» Sparse Representation for Gaussian Process Models
Sort
View
GRAPHITE
2006
ACM
14 years 1 months ago
GPU-based rendering of sparse low-degree implicit surfaces
Implicit surface is a well-known surface representation. Geometric details of an object can be represented using less surface primitives than other representations such as polygon...
Takashi Kanai, Yutaka Ohtake, Hiroaki Kawata, Kiwa...
IROS
2008
IEEE
123views Robotics» more  IROS 2008»
14 years 2 months ago
Learning predictive terrain models for legged robot locomotion
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
Christian Plagemann, Sebastian Mischke, Sam Prenti...
SIP
2003
13 years 9 months ago
Object Structure from Noisy Images
We describe the establishment of a compound object model for object recognition purposes which provides the frame for the extraction of object structure from images degraded by no...
Gabriele Peters
NIPS
2001
13 years 9 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
ICIP
2003
IEEE
14 years 9 months ago
A semantic representation for image retrieval
Robust semantic labeling of image regions is a basic problem in representing and retrieving image/video content. We propose an SVM-MRF framework to model features and their spatia...
Lei Wang, B. S. Manjunath