We take AlexNet [1] as an example to show how we compute the parameter compression and memory footprint reduction of a network. We show the structure of the filters in each convolutional layer and fully connected layer of AlexNet [1] in Table 1. Each neuron is an order-3 tensor, we use width, height and input to show the number of elements for each of the three channels. Output shows the number...

We propose an interesting efficient member ID-based group signatures, i.e., verification of output from algorithm OPEN run by the group manager does not have to refer to a registration table (acting as certification list). The proposal is free of GM-frameability, i.e., secret key of member is not escrowed to GM, which is unique among all known member ID-based group signatures as far as we know....

Two hundred web tables from ten sites were imported into Excel. The tables were edited as needed, then converted into layout independent Wang Notation using the Table Abstraction Tool (TAT). The output generated by TAT consists of XML files to be used for constructing narrow-domain ontologies. On an average each table required 104 seconds for editing. Augmentations like aggregates, footnotes, t...

One way to specialize a general purpose multi-core chip built using NoC principles is to provide a mechanism to configure an application specific deadlock free routing algorithm in the underlying communication network. A table in every router, implemented using a writable memory, can provide a possibility of specializing the routing algorithm according to the application requirements. In such a...

1. INTRODUCTION Hybrid input-output models combine nonsurvey techniques for estimating regional direct requirements tables with superior data, which are obtained from experts, surveys, and other reliable sources (primary or secondary). Such data can be added at any stage of model construction. To date, hybrid model production has been defined only in very general terms. Elsewhere (Lahr, 1993), ...

Programmable LUT cascades are used to evaluate multi-output Boolean functions. This paper shows several representations of multi-output functions and introduces a new decomposition algorithm applicable to these representations. The algorithm produces LUT cascades with the limited number of rails, which leads to significantly faster circuits and applicability to large designs. The experiment sho...

In many cases in SMT we want to allow specialized modules to propose translation fragments to the decoder and allow them to compete with translations contained in the phrase table. Transliteration is one module that may produce such specialized output. In this paper, as an example, we build a specialized Urdu transliteration module and integrate its output into an Urdu–English MT system. The mo...