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Python is a kind of dynamic-typed language which provides flexibility but leaves the programmer without the benefits of static typing. This paper describes Type, a tool that works for static type annotation and inference for python. It could simulate the built-in modules, transform the Python source code to IR(Intermediate representation) which we design and annotate, infer and reduce the IR into...
We establish a connection between Lasso-type lscr1 regularization and learning variable length Markov chains (VLMCs). This is achieved by a parameterization of discrete-valued finite-memory Markov sources in which setting a parameter value equal to zero is equivalent to eliminating a node in the corresponding context tree model. The parameterization involves a Haar wavelet transformation on a set...
The type of lscr1 norm regularization used in Lasso and related methods typically yields sparse parameter estimates where most of the estimates are equal to zero. We study a class of estimators obtained by applying a linear transformation on the parameter vector before evaluating the lscr1 norm. The resulting ldquotransformed Lassordquo yields estimates that are ldquosmoothrdquo in a way that depends...
A new method of realizing fingerprint authentication on Smartcard has been presented. Based on SOC, this method puts the pre-processing algorithm, which is the most time-wasting process, out of card. It not only decreases the complexity of realizing fingerprint authentication on Smartcard, but also ensures the security of fingerprint information due to the original fingerprint image has been transformed...
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