We propose a novel approach to understanding
activities from their partial observations monitored through
multiple non-overlapping cameras separated by unknown time
gaps. In our...
A statistical correlation model for image retrieval is proposed. This model captures the semantic relationships among images in a database from simple statistics of userprovided r...
This work presents techniques for computing the switching activities of all circuit nodes under pseudorandom or biased input sequences and assuming a zero delay mode of operation....
Abstract. We investigate a nonparametric model with which to visualize the relationship between two datasets. We base our model on Gaussian Process Latent Variable Models (GPLVM)[1...
This paper aims to develop a new statistical measure to identify significant correlations among multiple events with spatial and temporal components. This new measure, ( , )K r t ,...