In this paper, we reveal a common deficiency of the current retrieval models: the component of term frequency (TF) normalization by document length is not lower-bounded properly;...
In this paper, we initiate a study of zero knowledge proof systems in the presence of sidechannel attacks. Specifically, we consider a setting where a cheating verifier is allow...
In machine learning and computer vision, input signals are often filtered to increase data discriminability. For example, preprocessing face images with Gabor band-pass filters ...
We describe a method for producing a smooth, stabilized
video from the shaky input of a hand-held light field video camera—
specifically, a small camera array. Traditional stab...
Brandon M. Smith, Li Zhang, Hailin Jin, Aseem Agar...
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...