byline 发表于 2025-3-27 00:43:36
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Support Blob Machinese loss function introduced in support vector regression , we use a quadratic .-insensitive loss function instead of the original quadratic measure. The .-insensitivity loss allows errors in the approximating function without actual increase in loss. It penalizes errors only when they become larghegemony 发表于 2025-3-27 08:56:02
Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changesd on extending the Förstner-Harris approach to general motion models and robust template matching. We also incorporate a simple local appearance model to ensure good resistance to the most common illumination variations. We illustrate the resulting methods and quantify their performance on test imag绅士 发表于 2025-3-27 13:07:39
http://reply.papertrans.cn/24/2341/234007/234007_34.png听写 发表于 2025-3-27 14:20:13
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Computer Vision - ECCV 2004978-3-540-24673-2Series ISSN 0302-9743 Series E-ISSN 1611-3349