Sciweavers

477 search results - page 28 / 96
» Missing Data Estimation Using Polynomial Kernels
Sort
View
ICCV
2005
IEEE
16 years 2 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
118
Voted
WSCG
2004
166views more  WSCG 2004»
15 years 1 months ago
De-noising and Recovering Images Based on Kernel PCA Theory
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
Pengcheng Xi, Tao Xu
125
Voted
ECCV
2004
Springer
16 years 2 months ago
Image and Video Segmentation by Anisotropic Kernel Mean Shift
Mean shift is a nonparametric estimator of density which has been applied to image and video segmentation. Traditional mean shift based segmentation uses a radially symmetric kerne...
Jue Wang, Bo Thiesson, Yingqing Xu, Michael F. Coh...
CVPR
2010
IEEE
15 years 9 months ago
Scale-Invariant heat kernel signatures for non-rigid shape recognition
One of the biggest challenges in non-rigid shape retrieval and comparison is the design of a shape descriptor that would maintain invariance under a wide class of transformations ...
Michael Bronstein, Iasonas Kokkinos
104
Voted
ICRA
2008
IEEE
149views Robotics» more  ICRA 2008»
15 years 7 months ago
Target detection and position likelihood using an aerial image sensor
— Sensor-based control is an emerging challenge in UAV applications. It is essential in a sensing task to account for sensor measurement errors when computing a target position e...
Zu Whan Kim, Raja Sengupta