999 search results - page 4 / 200 » Efficient Learning to Label Images |
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
Viola and Jones (VJ) cascade classification methods have proven to be very successful in detecting objects belonging to a single class -- e.g., faces. This paper addresses the mor...
AAAI
2010
13 years 11 months ago
2010
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
ECCV
2008
Springer
13 years 11 months ago
2008
Springer
For many tasks in computer vision, it is very important to produce the groundtruth data. At present, this is mostly done manually. Manual data labeling is labor-intensive and prone...
ICMCS
2009
IEEE
13 years 7 months ago
2009
IEEE
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
MM
2006
ACM
14 years 3 months ago
2006
ACM
Labeling objects in images is an essential prerequisite for many visual learning and recognition applications that depend on training data, such as image retrieval, object detecti...