Few-shot adaptation is a challenging problem in the context of simulation-to-real transfer robotics, requiring safe and informative data collection. In physical systems, additional challenge may be posed by domain noise, which present virtually all real-world applications. this letter, we propose to perform few-shot dynamics models noisy conditions using an uncertainty-aware Kalman filter-based...

Although lot streaming scheduling is an active research field, lot streaming flexible flow lines problems have received far less attention than classical flow shops. This paper deals with scheduling jobs in lot streaming flexible flow line problems. The paper mathematically formulates the problem by a mixed integer linear programming model. This model solves small instances to optimality. Moreo...

We present our experience of building a prototype system based on the Utility Model for adaptive multimedia. The Utility Model is proposed to capture the issues and dynamics in multi-session multimedia systems where the quality of service (QoS) of individual sessions is adapted to dynamic changes of available resources and of user preferences. We present the design and implementation of our pro...

This paper discusses preliminary work on modeling and validation dynamic adaptation. The proposed approach is on the use of aspect-oriented modeling (AOM) and models at runtime. Our approach covers design and runtime phases. At design-time, a base model and different variant architecture models are designed and the adaptation model is built. Crucially, the adaptation model includes invariant pr...

We propose a fast speaker adaptation method using an aspect model. The performance of speaker independent (SI) model is very sensitive to environments such as microphones, speakers, and noises. Speaker adaptation techniques try to obtain near speaker dependent (SD) performance with only small amounts of specific data and are often based on initial SI model. One of the most important purposes fo...

although lot streaming scheduling is an active research field, lot streaming flexible flow lines problems have received far less attention than classical flow shops. this paper deals with scheduling jobs in lot streaming flexible flow line problems. the paper mathematically formulates the problem by a mixed integer linear programming model. this model solves small instances to optimality. moreo...

Aminimum generation error (MGE) criterion had been proposed for model training in HMM-based speech synthesis. In this paper, we apply the MGE criterion to model adaptation for HMM-based speech synthesis, and introduce an MGE linear regression (MGELR) based model adaptation algorithm, where the regression matrices used to transform source models are optimized so as to minimize the generation err...

In this paper, a framework of minimum classification error (MCE) model adaptation for continuous density HMMs is proposed based on the approach of "super" string model. We show that the error rate minimization in the proposed approach can be formulated into maximizing a special ratio of two positive functions, and from that a general growth transform algorithm is derived for MCE based model ada...