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This paper considers the person verification problem in modern surveillance and video retrieval systems. The problem is to identify whether a pair of face or human body images is about the same person, even if the person is not seen before. Traditional methods usually look for a distance (or similarity) measure between images (e.g., by metric learning(More)
Wyner-Ziv video coding (WZVC) has gained considerable interests in the research community. In this paper, we present a model to examine the WZVC performance and compare it with conventional motion-compensated prediction (MCP) based video coding. Theoretical results show that although WZVC can achieve as much as 6-dB gain over conventional video coding(More)
In this paper, we propose a new image representation to capture both the appearance and spatial information for image classification applications. First, we model the feature vectors, from the whole corpus, from each image and at each individual patch, in a Bayesian hierarchical framework using mixtures of Gaussians. After such a hierarchical(More)
The increasing complexity, heterogeneity, and dynamism of emerging pervasive Grid environments and applications has necessitated the development of autonomic self-managing solutions, that are inspired by biological systems and deal with similar challenges of complexity, heterogeneity, and uncertainty. This paper introduces Project AutoMate and describes its(More)
The problem of path following for marine surface vessels using the rudder control is addressed in this paper. The need to enforce the roll constraints and the fact that the rudder actuation is limited in both amplitude and rate make the model predictive control (MPC) approach a natural choice. The MPC design is based on a linearized model for computational(More)
Cognitive deficits such as impaired decision-making can be a consequence of persistent pain. Normal functions of the intact amygdala and prefrontal cortex are required for emotion-based decision-making that relies on the ability to assess risk, attribute value, and identify advantageous strategies. We tested the hypothesis that pain-related cognitive(More)
The scale, heterogeneity, and dynamism of emerging distributed and decentralized environments make coordination a significant and challenging problem. In this paper we present Comet, a scalable peer-to-peer content-based coordination space. Comet provides a global virtual sharedspace that can be associatively accessed by all peer nodes in the system, and(More)
Side estimation plays an important role in Wyner-Ziv video coding. In this paper, we examine the use of two conventional motion search methods to improve side estimation. Unlike motion estimators used in conventional video encoders, side estimators do not have access to the original frame. This difference leads to some interesting observations concerning(More)