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Sparse representation provides a new method of generating a super-resolution image from a single low resolution input image. An over-complete base for sparse representation is an essential part of such methods. However discovering the over-complete base with efficient representation from a large amount of image patches is a difficult problem. We make(More)
There has been a large amount of research on speech driven face animation. Particularly, recently research efforts have been demonstrated that the hidden Markov model techniques could achieve a high level of success in the field of audio/visual mapping without language information. In this paper, firstly a linear model based facial representation method was(More)
In this paper, we propose a novel data representation-classification model learning algorithm. The model is a convolutional neural network (CNN), and we learn its parameters to achieve A-optimality. The input multi-instance data are represented by a CNN model, and then classified by a linear classification model. The A-optimality of a classification model(More)
Plasticity of vascular smooth muscle cells (VSMCs) plays a central role in the onset and progression of proliferative vascular diseases. In adult tissue, VSMCs exist in a physiological contractile-quiescent phenotype, which is defined by lack of the ability of proliferation and migration, while high expression of contractile marker proteins. After injury to(More)
Vivid facial expressions contribute greatly to the visual realism of 3D face models. However, it is often tedious and expensive to model facial details which are authentic and real-time. In this paper, a simple and functional approach for modeling dynamic wrinkles of face is introduced. Started with structured facial mesh, we divide face region into some(More)
This paper proposes a new method to generate smooth transition frames for serializing Chinese sign-language video clips. Each transition frame is composed of images of arms, hands, head and torso. Of them, the hand images are computed based on 3D hand models, and images of other parts are selected from a database. Experimental results show the method(More)
Recent advances in nucleic acid-templated copolymerization have expanded the scope of sequence-controlled synthetic copolymers beyond the molecular architectures witnessed in nature. This has enabled the power of molecular evolution to be applied to synthetic copolymer libraries to evolve molecular function ranging from molecular recognition to catalysis.(More)