4591 search results - page 141 / 919 » Learning from Dyadic Data |
149
Voted
CVPR
2005
IEEE
16 years 6 months ago
2005
IEEE
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
153
Voted
CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
161
Voted
CVPR
2011
IEEE
15 years 2 days ago
2011
IEEE
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
129
Voted
CHI
2004
ACM
16 years 4 months ago
2004
ACM
Interface design for the home requires a realistic understanding of the complexity and richness of the human activities that go on there; it is our goal to develop tools that enab...
155
click to vote
ICCV
2011
IEEE
14 years 4 months ago
2011
IEEE
Many applications involve multiple-modalities such as text and images that describe the problem of interest. In order to leverage the information present in all the modalities, on...