We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Cultural profiling involves a complex interplay of multiple dimensions that are virtually impossible to wholly address. This paper explores several cultural (nationality and its as...
Emmanuel G. Blanchard, Marguerite Roy, Susanne P. ...
The ability to model changes in preferences is crucially important for sound decision making and effective communication. Much has been written about strategies for changing belie...