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» Some Solutions to the Missing Feature Problem in Vision
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ICCV
2005
IEEE
14 years 9 months ago
An Ensemble Prior of Image Structure for Cross-Modal Inference
In cross-modal inference, we estimate complete fields from noisy and missing observations of one sensory modality using structure found in another sensory modality. This inference...
S. Ravela, Antonio B. Torralba, William T. Freeman
TSMC
1998
92views more  TSMC 1998»
13 years 7 months ago
Solving the orientation-duality problem for a circular feature in motion
Circular features have been commonly used in numerous computer vision application areas for 3-D pose estimation. However, the estimation of such a feature’s pose from 2-D image ...
D. He, Beno Benhabib
DASFAA
2007
IEEE
234views Database» more  DASFAA 2007»
14 years 1 months ago
Estimating Missing Data in Data Streams
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
Nan Jiang, Le Gruenwald
CVPR
2009
IEEE
1351views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Support Vector Machines in Face Recognition with Occlusions
Support Vector Machines (SVM) are one of the most useful techniques in classification problems. One clear example is face recognition. However, SVM cannot be applied when the fe...
Aleix M. Martínez, Hongjun Jia
TAMC
2007
Springer
14 years 1 months ago
Finding a Duplicate and a Missing Item in a Stream
We consider the following problem in a stream model: Given a sequence a = a1, a2, . . . , am wich each ai ∈ [n] = {1, . . . , n} and m > n, find a duplicate in the sequence, ...
Jun Tarui