We introduce a novel parametric BRDF model that can
accurately encode a wide variety of real-world isotropic
BRDFs with a small number of parameters. The key observation
we make...
We describe a class of causal, discrete latent variable models called Multiple Multiplicative Factor models (MMFs). A data vector is represented in the latent space as a vector of...
Documents in many corpora, such as digital libraries and webpages, contain both content and link information. To explicitly consider the document relations represented by links, i...
We propose an approach to model the background of images in a video sequence based on subpixel edge map. This work is motivated by the observation that intensity based background ...
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
John Blitzer, Kilian Q. Weinberger, Lawrence K. Sa...