2167 search results - page 375 / 434 » Learning with Drift Detection |
141
Voted
CVPR
2010
IEEE
15 years 12 months ago
2010
IEEE
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
132
Voted
Publication
Image matching has been a central research topic in computer vision over the last decades. Typical approaches to correspondence involve matching features between images. In this pa...
150
Voted
ICPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Since the large diffusion of digital camera and mobile devices with embedded camera and flashgun, the red-eyes artifacts have de-facto become a critical problem. The technique he...
124
Voted
WWW
2010
ACM
15 years 10 months ago
2010
ACM
In this paper, we address the question of how we can identify hosts that will generate links to web spam. Detecting such spam link generators is important because almost all new s...
138
Voted
CVPR
2009
IEEE
15 years 10 months ago
2009
IEEE
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...