Most automated graphics generation systems employ either a constructive or a parametric graphics synthesis approach. Constructive graphics synthesis is a deductive approach that builds visual presentations from scratch by gluing together the most basic visual variables. Conversely, parametric graphics synthesis defines a set of parametrized visual models and interprets the information to be pre...

This study investigates the use of H2, -synthesis, and mixed H2= methods to construct full order controllers and optimized controllers of xed dimensions. The benchmark problem de nition is rst extended to include uncertainty within the controller bandwidth in the form of parametric uncertainty representative of uncertainty in the natural frequencies of the design model. The sensitivity of H2 de...

The author presents MASSY, the MODULAR AUDIOVISUAL SPEECH SYNTHESIZER. The system combines two approaches of visual speech synthesis. Two control models are implemented: a (data based) di-viseme model and a (rule based) dominance model where both produce control commands in a parameterized articulation space. Analogously two visualization methods are implemented: an image based (video-realistic...

This paper presents a new approach towards parametric analysis of MINLP models in the context of process synthesis problems under uncertainty. The approach is based on the idea of High Dimensional Model Representation technique which utilize a reduced number of model runs to build an uncertainty propagation model that expresses the variability of optimal solution in the uncertain space. Based o...

This paper presents a design synthesis method for distributed embedded systems In such systems computations can ow through long pipelines of interacting software components hosted on a variety of resources each of which is managed by a local scheduler Our method automatically calibrates the local resource schedulers to achieve the system s global end to end performance requirements A system is ...

In conventional neural networks (NN) based parametric text-tospeech (TTS) synthesis frameworks, text analysis and acoustic modeling are typically processed separately, leading to some limitations. On one hand, much significant human expertise is normally required in text analysis, which presents a laborious task for researchers; on the other hand, training of the NN-based acoustic models still ...

In this paper, we present a fast algorithm for automatically generating a 3D model of a human face and synthesizing affects on it. This work is a step towards low bandwidth virtual Tele-presence using avatars. The idea is to generate a 3D model of a person’s face and animate different emotions on the face at a remote observer’s end, thus eliminating the need to send raw video. This research is ...

The amount of information present in HRTFs and the required processing capabilities for real-time and interactive binaural rendering have long been a challenge for many applications for binaural rendering. More recently, parametric methods to capture the perceptually-relevant information from HRTFs have been developed. By means of extracting perceptually-relevant attributes from HRTF pairs, bin...

We study Parametric Petri Nets (PPNs), i.e., Petri nets for which some arc weights can be parameters. In that setting, we address a problem of parameter synthesis, which consists in computing the exact set of values for the parameters such that a given marking is coverable in the instantiated net. Since the emptiness of that solution set is already undecidable for general PPNs, we address a spe...