Research demonstrates that within-category visual variability facilitates noun learning; however, the effect of visual variability on verb learning is unknown. We habituated 24-month-old children to a novel verb paired with an animated star-shaped actor. Across multiple trials, children saw either a single action from an action category (identical actions condition, for example, travelling whil...

Mainly motivated by statistical shape analysis, this paper presents a novel landmark-based method for accurate shape correspondence, where the general goal is to align multiple shape instances by identifying a set of corresponded landmark points along those shapes. Different from previous methods, we consider both global shape deformation and local geometric features in defining the shape-corre...

in this paper, a novel patch geodesic derivative pattern (pgdp) describing the texture map of a face through its shape data is proposed. geodesic adjusted textures are encoded into derivative patterns for similarity measurement between two 3d images with different pose and expression variations. an extensive experimental investigation is conducted using the publicly available bosphorus and bu-3...

substituted naphthofurans and naphthopyrans were constructed at high temperature from allyl or propargyl naphthyl ethers via claisen rearrangement in moderate to good yields. also, substituted (trimethylsilyl)-naphthofurans were synthesized from the corresponding naphtofurans.

background and aim: horseshoe placenta is a variant of ring-shaped placenta. ring-shaped placenta is a rare anomaly seen in fewer than 1 in 6000 deliveries, which could be seen as horseshoe shape due to atrophy in a portion of the ring. this report refers to a possible relationship between the horseshoe shape placenta and preterm labor; although it has not been yet validated in the literature. ...

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Knowledge about the biological variability of anatomical objects is essential for statistical shape analysis and discrimination between healthy and pathological structures. This paper describes a novel approach that incorporates variability of an object population into the generation of a characteristic 3D shape model. The proposed shape representation is based on a fine-scale spherical harmoni...

Knowledge about the biological variability of anatomical objects is essential for statistical shape analysis and discrimination between healthy and pathological structures. This paper describes a novel approach that incorporates variability of an object population into the generation of a characteristic 3D shape model. The proposed shape representation is based on a fine-scale spherical harmoni...