and joint angles that models how humans move. The posterior probability distribution over model parameters is represented using a discrete set of samples and is propagated over time using particle ltering. The approach extends previous work on parameterized optical ow estimation to exploit a complex 3D

that are unaware of (or ignore) the presence of other agents from those that explicitly attempt to learn the value of joint actions and the strategies of their counterparts. We study (a simple form of) Q-learning in cooperative multiagent systems under these two perspectives, focusing on the influence of that game

This paper addresses the joint design of transmit and receive beamforming or linear processing (commonly termed linear precoding at the transmitter and equalization at the receiver) for multicarrier multiple-input multiple-output (MIMO) channels under a variety of design criteria. Instead

The dramatic increase in geospatial data occasioned by developments in digital mapping, remote sensing, IT, and widespread generalization of Geographic Information Systems (GIS), emphasises the importance of exploring new approaches to spatial analysis and modelling. This favours the creation of new knowledge and eventually helps the process of scientific discovery. In this context the special nature of spatial data is particularly relevant and should be taken into account (e.g. observations are not independent and data uncertainty and errors are often spatially structured) . The tolerance of imprecision and uncertainty makes soft computing a potentially very useful tool in the GIS environment. Computational Intelligence (or Soft computing) fits particularly well with GIS applications in those cases where computationally hard problems cannot be solved by classical algorithmic approaches.

novel joint SR perspective. The joint SR exploits and maximizes the complementary advantages of external- and self-example based methods. We elaborate on exploitable priors for image components of different nature, and formulate their corresponding loss functions mathe-matically. Equipped with that, we

improve the system performance. Remarkably, such techniques literally exploit inter-cell interference by allowing the user data to be jointly processed by several interfering base stations, thus mimicking the benefits of a large virtual MIMO array. Multicell MIMO cooperation concepts are examined from

Among the first studies, this research develops a structural-form credit risk model being able to integrate both “asset inadequacy risk ” and “liquidity crunch risk ” of a firm. The new model differs from traditional structural-form credit models in that it additionally considers a firm’s flow-based insolvency as well as default risk due to asset inadequacy. This model can endogenously generate a firm’s probability of default, resulting from either asset inadequacy, liquidity crunch, or both. Our results of numerical analyses show that the model can catch the short-term default risk underestimated by Merton-type structural form models. Besides, an application to American banks also shows that this model performs better than the Merton-type structural form models in evaluating short-term credit risk.

the standpoint of maximal jointly achievable rates for the primary and cognitive users.

, and some of which have been missing all along or have gone awry. We sense joint enthusiasm to restate sensemaking in ways that make it more future oriented, more action oriented, more macro, more closely tied to organizing, meshed more boldly with identity, more visible, more behaviorally defined, less

Abstract & Taking the first-person perspective (1PP) centered upon one's own body as opposed to the third-person perspective (3PP), which enables us to take the viewpoint of someone else, is constitutive for human self-consciousness. At the underlying representational or cognitive level