274 search results - page 37 / 55 » Activity Recognition from Sparsely Labeled Data Using Multi-... |
71
Voted
ALT
2009
Springer
15 years 26 days ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
85
Voted
SIGIR
2006
ACM
15 years 3 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
84
Voted
EMMCVPR
2011
Springer
13 years 9 months ago
2011
Springer
The challenge of recovering the topology of massive neuronal circuits can potentially be met by high throughput Electron Microscopy (EM) imagery. Segmenting a 3-dimensional stack o...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Cu...
IBPRIA
2009
Springer
15 years 2 months ago
2009
Springer
ent abstract presents OASIS, an Online Algorithm for Scalable Image Similarity learning that learns a bilinear similarity measure over sparse representations. OASIS is an online du...