266 search results - page 12 / 54 » Learning to Identify Unexpected Instances in the Test Set |
89
Voted
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
72
Voted
ICDM
2009
IEEE
14 years 7 months ago
2009
IEEE
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
96
Voted
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
A novel automatic image annotation system is proposed, which integrates two sets of SVMs (Support Vector Machines), namely the MIL-based (Multiple Instance Learning) and global-fe...
119
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Usually, performance of classifiers is evaluated on real-world problems that mainly belong to public repositories. However, we ignore the inherent properties of these data and how...
78
Voted
GLVLSI
2005
IEEE
15 years 3 months ago
2005
IEEE
We develop a neural network that learns to separate the nominal from the faulty instances of a circuit in a measurement space. We demonstrate that the required separation boundari...