RGB-D cameras (such as the Microsoft Kinect) are novel sensing systems that capture RGB images along with per-pixel depth information. In this paper we investigate how such cameras can be used for building dense 3D maps of indoor environments. Such maps have applications in robot navigation, manipulation, semantic mapping, and telepresence. We present RGB-D Mapping, a full 3D mapping system tha...

the rank-k numerical range has a close connection to the construction of quantum error correction code for a noisy quantum channel. for noisy quantum channel, a quantum error correcting code of dimension k exists if and only if the associated joint rank-k numerical range is non-empty. in this paper the notion of joint rank-k numerical range is generalized and some statements of [2011, generaliz...

The positive interpretation of conventional game theory predicts that the joint (mixed) strategy of players in a game satisfies an equilibrium concept. The relative probabilities of such satisfying strategies are not specified, and all other strategies are deemed impossible. As an alternative, in this paper we use statistical inference to predict the joint strategy. The associated positive prob...

In this paper, we review recent research that examines audio-visual integration in multimodal communication. The topics include bimodality in human speech, human and automated lip-reading, facial animation, lip synchronization, joint audio-video coding, and bimodal speaker verification. We also study the enabling technologies for these research topics, including automatic facial feature trackin...

OBJECTIVES Accurate assessment of cartilage status is increasingly becoming important to clinicians for offering joint preservation surgeries versus joint replacements. The goal of this study was to evaluate the validity of three-dimensional (3D), gradient-echo (GRE)-based T2* and T1Gd mapping for the assessment of various histological severities of degeneration in knee joint cartilage with pot...

This paper discusses the problem of improving the realism of motion not only from the joint point-of-view as for robots, but also in relation to the deformations of bodies, hands and faces during animation. The mapping of surfaces onto the skeleton may be based on the concept of Joint-dependent Local Deformation (JLD) operators, which are specific local deformation operators depending on the na...

Modeling the dependence between outputs is a fundamental challenge in multilabel classification. In this work we show that a generic regularized nonlinearity mapping independent predictions to joint predictions is sufficient to achieve state-of-the-art performance on a variety of benchmark problems. Crucially, we compute the joint predictions without ever obtaining any independent predictions, ...

Expression quantitative trait loci (eQTL) mapping holds great promise in elucidating gene regulations and predicting gene networks associated with complex phenotypes. We propose a systems biology approach by incorporating prior pathway information into an eQTL mapping framework, to identify novel pathway regulators that mediate pathway expression changes. We model gene expressions in a predefin...

Up to this point, we have only spoken of RVs as being single-dimensional objects. We will now turn to the case of vector-valued random variables, which are functions mapping a sample space into Rn. Thus, when we talk about the distribution or density of X = (X1, X2, . . . , Xn), we refer to n-dimensional real-valued functions. Alternatively, one could think of the individual elements Xi as dist...