LEARNING-BASED SALIENCY DETECTION OF FACE IMAGES

Learning-Based Saliency Detection of Face Images

In this paper, we propose a novel method to detect saliency on face images.In TV Connect our method, face and facial features are extracted as two top-down feature channels, linearly integrated with three traditional bottom-up features of color, intensity, and orientation, to yield final saliency map of a face image.By conducting an eye tracking ex

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Preclinical characterization of recombinant human tissue kallikrein-1 as a novel treatment for type 2 diabetes mellitus.

Modulation of the kallikrein-kinin system (KKS) has been shown to have beneficial effects on glucose homeostasis and several other physiological responses relevant to the progression of type 2 diabetes mellitus (T2D).The importance of bradykinin and its receptors in mediating these responses is well documented, but the role of tissue kallikrein-1,

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Thermomechanical analysis for the theoretical optimization of W/Cu monoblocks with functionally graded interlayer

In fusion devices, plasma-facing components (PFCs) play a critical role in withstanding severe thermal conditions resulting from cyclic high heat flux (HHF) loads.The International Thermonuclear Experimental Reactor (ITER) and next-generation fusion devices are expected to employ actively cooled tungsten/copper (W/Cu) monoblocks as divertor targets

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