864 search results - page 22 / 173 » Selective Attention Improves Learning |
103
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ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
129
Voted
COLT
2010
Springer
14 years 10 months ago
2010
Springer
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
ICIP
2005
IEEE
16 years 2 months ago
2005
IEEE
When using relevance feedback for the interactive categorization of images, the strategy employed by the system to select images to be presented to the user is of paramount import...
140
Voted
Publication
We present an online learning approach for robustly combining unreliable
observations from a pedestrian detector to estimate the rough 3D scene geometry
from video sequences of a...
AIMS
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. We discuss an approach to reducing the number of events accepted by anomaly detection systems, based on alternative schemes for interest-ranking. The basic assumption is ...