The detection of series arc faults using fault current is difficult to overcome the influence load types, making it establish a unified criterion. In contrast, since voltage waveform point less affected by types and basically square wave shape, which provide conditions for constructing terms information, distortion on load-side caused transition edge provides position information edge, its pola...

We introduce a variant of (sparse) PCA in which the set of feasible support sets is determined by a graph. In particular, we consider the following setting: given a directed acyclic graph G on p vertices corresponding to variables, the non-zero entries of the extracted principal component must coincide with vertices lying along a path in G. From a statistical perspective, information on the und...

Over the last decade, clusters have become the fastest growing platforms in highperformance computing. More recently, Grids were emerging as next generation computing platforms for large-scale computation and data intensive problems in industry, academic, and government organizations. Meanwhile, an increasing number of real-time applications running on clusters and Grids have mandatory security...

This paper presents a novel approach for the generation of realistic speech synchronized 3D facial animation that copes with anticipatory and perseveratory coarticulation. The methodology is based on the measurement of 3D trajectories of fiduciary points marked on the face of a real speaker during the speech production of CVCV non-sense words. The trajectories are measured from standard video s...

Speakers appear to adopt strategies to improve speech intelligibility for interlocutors in adverse acoustic conditions. Generated speech, whether synthetic, recorded or live, may also benefit from context-sensitive modifications in challenging situations. The current study measured the effect on intelligibility of six spectral and temporal modifications operating under global constraints of con...

Predicting cascade dynamics has important implications for understanding information propagation and launching viral marketing. Previous works mainly adopt a pair-wise manner, modeling the propagation probability between pairs of users using n independent parameters for n users. Consequently, these models suffer from severe overfitting problem, especially for pairs of users without direct inter...

This paper proposes a parameter generation algorithm using local variance (LV) constraint of spectral parameter trajectory for HMM-based speech synthesis. In the parameter generation process, we take account of both the HMM likelihood of speech feature vectors and a likelihood for LVs. To model LV precisely, we use dynamic features of LV with context-dependent HMMs. The objective experimental r...

This paper describes an approach to controlling style of synthetic speech in HMM-based speech synthesis. The style is defined as one of speaking styles and emotional expressions in speech. We model each speech synthesis unit by using a context-dependent HMM whose mean vector of the output distribution function is given by a function of a parameter vector called style control vector. We assume t...

Generating synthetic images is an art which emulates the natural process of image generation in a closest possible manner. In this work, we exploit such a framework for data generation in handwritten domain. We render synthetic data using open source fonts and incorporate data augmentation schemes. As part of this work, we release 9M synthetic handwritten word image corpus which could be useful...