3378 search results - page 407 / 676 » Learning in Friedberg Numberings |
210
click to vote
SAC
2008
ACM
15 years 6 months ago
2008
ACM
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
189
click to vote
ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...
274
click to vote
CVPR
2001
IEEE
16 years 8 months ago
2001
IEEE
This paper describes a machine learning approach for visual
object detection which is capable of processing images
extremely rapidly and achieving high detection rates. This
wor...
191
click to vote
CVPR
2003
IEEE
16 years 8 months ago
2003
IEEE
We describe some techniques that can be used to represent and detect deformable shapes in images. The main difficulty with deformable template models is the very large or infinite...
161
click to vote
CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
Recently, "epitomes" were introduced as patch-based probability models that are learned by compiling together a large number of examples of patches from input images. In...