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» Learning to rank with multiple objective functions
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CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
15 years 1 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...
IJCV
2011
264views more  IJCV 2011»
14 years 6 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
76
Voted
DICTA
2007
15 years 1 months ago
The Tower of Knowledge Scheme for Learning in Computer Vision
A scheme, named tower of knowledge (ToK), is proposed for interpreting 3D scenes. The ToK encapsulates causal dependencies between object appearance and functionality. We demonstr...
Maria Petrou, Mai Xu
CVPR
2005
IEEE
16 years 1 months ago
Appearance Modeling for Tracking in Multiple Non-Overlapping Cameras
When viewed from a system of multiple cameras with nonoverlapping fields of view, the appearance of an object in one camera view is usually very different from its appearance in a...
Omar Javed, Khurram Shafique, Mubarak Shah
137
Voted
IJDMMM
2008
124views more  IJDMMM 2008»
14 years 11 months ago
Completing missing views for multiple sources of web media
: Combining multiple data sources, each with its own features, to achieve optimal inference has received a lot of attention in recent years. In inference from multiple data sources...
Shankara B. Subramanya, Zheshen Wang, Baoxin Li, H...