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In this paper we propose a hand posture recognition method which overcomes the main drawbacks of existing methods [1, 6, 10].
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Mr. Gore said he had proposed a hand recount of the entire state, but acknowledged that "it's less of a realistic possibility now".
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Indeed, the EU may not be ready to propose a deal until the Serbs hand over another alleged war criminal, Ratko Mladic, to The Hague.
We propose a novel hand posture feature, an eigenspace Size Function, which is robust to classifying hand postures independent of the person performing them.
We propose a frame-level hand presence detection method that utilizes hand motion saliency in the egocentric human-computer interaction, which reduces the false positive rate for the final target of pixel-level hand segmentation.
In summary, this paper makes three main contributions: We propose a frame-level hand presence detection method that utilizes hand motion saliency in the egocentric human-computer interaction, which reduces the false positive rate for the final target of pixel-level hand segmentation.
Based on this insight, we propose an in-hand slip detection architecture that is able to adapt to the current robot's actions at run time.
Li and Kitani [1, 4] propose a pixel-level hand detection method using color- and texture-based features.
We propose a classification of hand lesions in our review (excluding the pseudo-masses) into "benign", "intermediate grade" (histologically benign but locally aggressive with potential for recurrence) and "malignant" lesions.
In this paper, to overcome the difficulties mentioned above, we propose a combination of hand-crafted and deep-learned features which can effectively measure the severity of depression from speech.
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