215 search results - page 35 / 43 » Adaptive Informative Sampling for Active Learning |
ECCV
2000
Springer
14 years 9 months ago
2000
Springer
Abstract. Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the sc...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
ML
2012
ACM
12 years 3 months ago
2012
ACM
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
SEMWEB
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. There is a growing discrepancy between the creation of digital content and its actual employment and usefulness in a learning society. Technologies for recording lectures...
CHI
2011
ACM
12 years 11 months ago
2011
ACM
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...