864 search results - page 71 / 173 » Selective Attention Improves Learning |
96
Voted
CVPR
2003
IEEE
16 years 2 months ago
2003
IEEE
The performance of image retrieval with SVM active learning is known to be poor when started with few labelled images only. In this paper, the problem is solved by incorporating t...
87
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
In this paper, we propose an Active Learning (AL) framework for the Multi-Task Adaptive Filtering (MTAF) problem. Specifically, we explore AL approaches to rapidly improve an MTAF...
110
Voted
EWSPT
2003
Springer
15 years 6 months ago
2003
Springer
: Software development is an experimental discipline, i.e. somewhat unpredictable. This suggests that software processes improvement should be based on the continuous iteration of ...
116
Voted
AGENTS
1999
Springer
15 years 5 months ago
1999
Springer
This paper discusses improving the methodology introduced in Kushmerick’s paper about learning to remove internet advertisements. The aim is to reduce the model build time as we...
89
Voted
AIRS
2008
Springer
15 years 7 months ago
2008
Springer
We present a novel approach that transforms the weighting task to a typical coarse-grained classification problem, aiming to assign appropriate weights for candidate expansion term...