Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Pedestrian detection is a key problem in computer vision,
with several applications including robotics, surveillance
and automotive safety. Much of the progress of the past
few ...
Bernt Schiele, Christian Wojek, Pietro Perona, Pio...
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
Recent advances in bio-molecular imaging have afforded biologists a more thorough understanding of cellular functions in complex tissue structures. For example, high resolution fl...
B. S. Manjunath, Baris Sumengen, Zhiqiang Bi, Jiyu...