The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
We present a single-layer recurrent neural network that implements novelty detection for spatiotemporal patterns. The architecture is based on the structure of region CA3 in the h...
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
We develop a computational model of shape that extends existing Riemannian models of shape of curves to multidimensional objects of general topological type. We construct shape sp...
Xiuwen Liu, Yonggang Shi, Ivo D. Dinov, Washington...
In this paper, we propose an image-based approach to synthesize a novel view image for mixed reality (MR) systems. Theoretically, the image- based method is good for synthesizing ...