59 search results - page 10 / 12 » Multiple-Instance Learning of Real-Valued Data |
KDD
1995
ACM
13 years 9 months ago
1995
ACM
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
We present a method to learn visual attributes (eg.“red”,
“metal”, “spotted”) and object classes (eg. “car”,
“dress”, “umbrella”) together. We assume imag...
CVPR
2010
IEEE
13 years 10 months ago
2010
IEEE
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
CORR
2011
Springer
13 years 1 months ago
2011
Springer
There have been several recent advancements in Machine Learning community on the Entity Matching (EM) problem. However, their lack of scalability has prevented them from being app...
MMM
2007
Springer
14 years 8 days ago
2007
Springer
This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...