Probabilistic techniques and algorithms
نویسنده
چکیده
We investigate the problem of decoding bar codes from a signal measured with a hand-held laser-based scanner. We develop a sparse representation of the UPC bar code and relate it to the measured signal. A greedy symbol-based algorithm for decoding a bar code is proposed. We show that the algorithm is robust to noise, and to unknown parameters in the scanning device. Numerical examples further illustrate the behavior of the method. Joint work with Rachel Ward and Fadil Santosa 10.00 10.25 Lorenzo Rosasco Unsupervised learning and regularization
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