We show quite good face clustering is possible for a dataset of inaccurately and ambiguously labelled face images. Our dataset is 44,773 face images, obtained by applying a face finder to approximately half a million captioned news images. This dataset is more realistic than usual face recognition datasets, because it contains faces captured "in the wild" in a variety of configurations with respect to the camera, taking a variety of expressions, and under illumination of widely varying color. Each face image is associated with a set of names, automatically extracted from the associated caption. Many, but not all such sets contain the correct name.We cluster face images in appropriate discriminant coordinates. We use a clustering procedure to break ambiguities in labelling and identify incorrectly labelled faces. A merging procedure then identifies variants of names that refer to the same individual. The resulting representation can be used to label faces in news images or to organize news pictures by individuals present.An alternative view of our procedure is as a process that cleans up noisy supervised data. We demonstrate how to use entropy measures to evaluate such procedures.

Experimental evidence of reduction of ultrathin TiO2 by Ti is presented and its effect on Fermi level depinning and contact resistivity reduction to Si is experimentally studied. A low effective barrier height of 0.15 V was measured with a Ti/10 Å TiO2−x/n-Si MIS device, indicating 55% reduction compared to a metal/n-Si control contact. Ultra-low contact resistivity of 9.1 × 10−9 Ω-cm2 was obtained using Ti/10 Å TiO2−x/n+ Si, which is a dramatic 13X reduction from conventional unannealed contacts on heavily doped Si. Transport through the MIS device incorporating the effect of barrier height reduction and insulator conductivity as a function of insulator thickness is comprehensively analyzed and correlated with change in contact resistivity. Low effective barrier height, high substrate doping, and high conductivity interfacial layer are identified as key requirements to obtain low contact resistivity using MIS contacts.

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Figure 1: We reconstruct a stationary sleeve using thousands of markers to estimate the geometry (texture added with bump mapping). AbstractWe capture the shape of moving cloth using a custom set of color markers printed on the surface of the cloth. The output is a sequence of triangle meshes with static connectivity and with detail at the scale of individual markers in both smooth and folded regions. We compute markers' coordinates in space using correspondence across multiple synchronized video cameras. Correspondence is determined from color information in small neighborhoods and refined using a novel strain pruning process. Final correspondence does not require neighborhood information. We use a novel data driven hole-filling technique to fill occluded regions. Our results include several challenging examples: a wrinkled shirt sleeve, a dancing pair of pants, and a rag tossed onto a cup. Finally, we demonstrate that cloth capture is reusable by animating a pair of pants using human motion capture data.