Abstract. The study of natural image statistics considers the statistical properties of large collections of images from natural scenes, and has applications in image processing, c...
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
In this paper we present an algorithm for face detection that is based on generic local descriptors (e.g. eyes). A generic descriptor captures the distribution of individual descr...
Planning a path to a destination, given a number of options and obstacles, is a common task. We suggest a two-component cognitive model that combines retrieval of knowledge about t...
Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...