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CVPR
2010
IEEE
14 years 3 months ago
Efficiently Selecting Regions for Scene Understanding
Recent advances in scene understanding and related tasks have highlighted the importance of using regions to reason about high-level scene structure. Typically, the regions are ...
M. Pawan Kumar, Daphne Koller
ECCV
2010
Springer
14 years 20 days ago
Robust Multi-View Boosting with Priors
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
RSS
2007
145views Robotics» more  RSS 2007»
13 years 8 months ago
Semantic Modeling of Places using Objects
— While robot mapping has seen massive strides , higher level abstractions in map representation are still not widespread. Maps containing semantic concepts such as objects and l...
Ananth Ranganathan, Frank Dellaert
CVPR
2012
IEEE
11 years 9 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
BMCBI
2008
108views more  BMCBI 2008»
13 years 7 months ago
SPRINT: A new parallel framework for R
Background: Microarray analysis allows the simultaneous measurement of thousands to millions of genes or sequences across tens to thousands of different samples. The analysis of t...
Jon Hill, Matthew Hambley, Thorsten Forster, Murie...