远见 发表于 2025-3-21 19:01:20
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Michael Müntertep is needed because of the finite machine precision and rounding-off errors. The proposed method is very easy to implement, and we demonstrate experimentally that, with insignificant loss in precision, our method is considerably faster than the usual optimization method that uses conjugate gradien很像弓] 发表于 2025-3-22 04:23:17
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Michael Münter improve our detection ability over state-of-the-art detectors. We also present a method for learning the active set of relationships for a particular dataset. We present results on object detection in images from the PASCAL VOC 2005/2006 datasets and on the task of overhead car detection in satelliMagnitude 发表于 2025-3-22 11:09:35
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Michael Münterbackground, we learn and adapt a low dimensional compressed representation of it, which is sufficient to determine spatial innovations; object silhouettes are then estimated directly using the compressive samples without any auxiliary image reconstruction. We also discuss simultaneous appearance rec群居动物 发表于 2025-3-23 00:42:27
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Michael Münterbases have demonstrated that the FDM outperforms the state-of-the-art methods for facial expression analysis. More importantly, the FDM achieves an impressive performance in a cross-database validation, which demonstrates the generalization capability of the selected features.神圣在玷污 发表于 2025-3-23 07:44:42
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