1012 search results - page 88 / 203 » A Learning Classifier Approach to Tomography |
201
Voted
ECML
2007
Springer
15 years 11 months ago
2007
Springer
We consider the problem of ordinal classification, in which a value set of the decision attribute (output, dependent variable) is finite and ordered. This problem shares some chara...
208
click to vote
ICCV
2005
IEEE
16 years 9 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
205
click to vote
CVPR
2007
IEEE
16 years 9 months ago
2007
IEEE
We present a new algorithm to detect humans in still images utilizing covariance matrices as object descriptors. Since these descriptors do not lie on a vector space, well known m...
190
click to vote
LWA
2008
15 years 8 months ago
2008
When performing discussion search it might be desirable to consider non-topical measures like the number of positive and negative replies to a posting, for instance as one possibl...
226
click to vote
ISIWI
2000
15 years 8 months ago
2000
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...