146 search results - page 22 / 30 » Learning Metrics Between Tree Structured Data: Application t... |
130
click to vote
SDM
2007
SIAM
15 years 3 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
116
click to vote
IJON
2010
14 years 11 months ago
2010
Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor...
151
Voted
CVPR
2004
IEEE
16 years 3 months ago
2004
IEEE
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
158
click to vote
CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
Color is a powerful visual cue for many computer vision
applications such as image segmentation and object recognition.
However, most of the existing color models depend on the i...
140
click to vote
CIVR
2007
Springer
15 years 7 months ago
2007
Springer
In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...