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In order to promote the high frequency performance of open architecture CNC system, an embedded CNC controller combining FPGA (Field Programmable Gate Array) technology and real-time Ethernet communication bus was designed, which consisted of an embedded ARM (Advanced RISC Machines) processor and an FPGA. An open source CNC software running under Linux operating system was customized to accommodate...
Convolution-based detection models (CDM) have achieved tremendous success in computer vision in last few years, such as deformable part-based models (DPM) and convolutional neural networks (CNN). The simplicity of these models allows for very large scale training to achieve higher robustness and recognition performance. However, the main bottleneck of those powerful state-of-the-art models is the...
In this paper, we present an efficient algorithm for sparse signal recovery with high exact recovery rate. The main idea of the algorithm is to combine two existing methods: linearized Bregman algorithm and reweighting technique. Compared with other available methods, such as reweighted Basis Pursuit (BP) and linearized Bregman, the proposed algorithm has a much lower computational complexity with...
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