Abstract. Scientists’ ability to generate and collect massive-scale datasets is increasing. As a result, constraints in data analysis capability rather than limitations in the av...
in Proc. IEEE Int’l Conf. on Computer Vision (ICCV), October, 2007 Traditional Bayesian restoration methods depend heavily on the accuracy of underlying generative models. For t...
Yunqiang Chen, Lin Cheng, Tong Fang, Rainer Raupac...
In this paper, we introduce a novel way of performing real-valued optimization in the complex domain. This framework enables a direct complex optimization technique when the cost f...
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
This paper presents a top-down approach to 3D data analysis by fitting a Morphable Model to scans of faces. In a unified framework, the algorithm optimizes shape, texture, pose an...