The past decade has witnessed a rapid proliferation of video cameras in all walks of life and
has resulted in a tremendous explosion of video content. Several applications such as …

Pattern analysis often requires a pre-processing stage for extracting or selecting features in
order to help the classification, prediction, or clustering stage discriminate or represent the …

We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series
analysis, with applications to learning models of human pose and motion from high …

Behavior is a unifying organismal process where genes, neural function, anatomy and
environment converge and interrelate. Here we review the current state and discuss the …

We introduce time curves as a general approach for visualizing patterns of evolution in
temporal data. Examples of such patterns include slow and regular progressions, large …

The striatum is an input structure of the basal ganglia implicated in several time-dependent
functions including reinforcement learning, decision making, and interval timing. To …

This paper describes a method for building efficient representations of large sets of brain
images. Our hypothesis is that the space spanned by a set of brain images can be captured …

Image collections are getting larger and larger. To access those collections, systems for
managing, searching, and browsing are necessary. Visualization plays an essential role in …

Many natural image sets are samples of a low-dimensional manifold in the space of all
possible images. Understanding this manifold is a key first step in understanding many sets …

Camera placement has an enormous impact on the performance of vision systems, but the
best placement to maximize performance depends on the purpose of the system. As a result …