computer vision (CVmathematical objectspattern recognition (PRtensor distance measurestensor factorizationstensor methodsThis chapter focuses on different computer vision techniques, which make use of tensors, as well as their decomposition and analysis. It presents a variety of tensor methods in ...
Tensor signal processing is an emerging field with important applications to computer vision and image processing. This book presents the state of the art in this new branch of signal processing, offering a great deal of research and discussions by leading experts in the area. The wide-ranging ...
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Deep neural networks typically map between higher-order tensors. In fact, it is the ability of deep convolutional neural networks to preserve and leverage local structure that made the current levels of performance possible, along with large datasets and efficient hardware. Tensor methods enable you ...
Computer visionWe define and derive some properties of the different multiple view tensors. The multiple view geometry is described using a four-dimensional... A Heyden - 《Mathematical Methods in the Applied Sciences》 被引量: 7发表: 2015年 Unknown Radial Distortion Centers in Multiple View Geom...
Methods Experimental setup The experimental setup is illustrated in Supplementary Fig.1. The input signals for the PTFP chip are generated by an arbitrary waveform generator (AWG, Keysight M8194A) with four independent output ports. Every output port works at a sampling rate of 120 GSa/s. Th...
Compared to other methods of autotuning, incremental autotuning using the plan cache has the following advantages: It does not require other modifications to the existing code from the user’s perspective, other than enabling the feature. The measurement overhead is also minimized in that it does...
Gaussian kernel functions are commonly used in splatting based volume rendering methods because of two important properties (see [9] for details): 296 A. Bhalerao and C.-F. Westin – Closure under affine mappings: GV(x − p) = 1 M− 1 GMT VM(u − Φ(p)), where M is an ...
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