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MNIST handwritten numeral recognition
4.0
Application background Handwriting recognition (HandWriting recognition) is generated in the handwriting written on the equipment ordered trajectory information transformation as characters in the code is actually handwriting trajectory coordinate sequence to the character of the code of a mapping process, is one of the human-computer interaction is the most natural and the most convenient means. With the popularity of mobile information tools such as smart phones, handheld computers and other mobile information technology, handwriting recognition technology has entered the era of large-scale application. Handwriting recognition to the user in accordance with the most natural, the most convenient way to enter the input, easy to use, can replace the keyboard or mouse. There are a number of devices for the handwriting input, such as the electromagnetic induction of the handwriting board, the pressure sensing type writing board, touch screen, touch pad, ultrasonic pen,
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SIFT openCL feature extraction
4.0
Application background The exact definition of features is often determined by the type of problem or application. Feature is the "interesting" part of a digital image, which is the starting point of many computer image analysis algorithms. Therefore, the success of an algorithm is often determined by the characteristics of its use and definition. Therefore, the most important feature of feature extraction is the "repeatability": the same scene of the feature extraction is the same. Key Technology OpenCL is first for heterogeneous system general-purpose parallel programming open and free standard and also a uniform programming environment for software developers for high performance computing server and desktop computing system, handheld devices, portable code, and is widely used in multi core processor (CPU), graphics processor (GPU), cell type architecture and digital signal processor (DSP) etc. other parallel processors, has broad prospects fo
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