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
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 ...
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...
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...
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, ...