31 search results - page 5 / 7 » Principal Manifolds and Bayesian Subspaces for Visual Recogn... |
TKDE
2008
13 years 6 months ago
2008
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
PR
2007
13 years 5 months ago
2007
A reliable system for visual learning and recognition should enable a selective treatment of individual parts of input data and should successfully deal with noise and occlusions....
CVPR
2003
IEEE
14 years 8 months ago
2003
IEEE
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...
ICCV
2003
IEEE
14 years 8 months ago
2003
IEEE
We propose modeling images and related visual objects as bags of pixels or sets of vectors. For instance, gray scale images are modeled as a collection or bag of (X, Y, I) pixel v...
VLSISP
2010
13 years 4 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...