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Oct 24, 2018 · Comparing on-device text recognition tools on Android smartphones. ... Firebase's ML Kit vs Tesseract OCR on Android devices. Zain Sajjad.

In a network the generalization of the simple notion of fairness is max min fairness [3]: allocated rates are as equal as possible, subject only to constraints imposed by the capacity of network links and the ow's own peak rate limitation The max-min fair allocation is unique and such that no ow rate l, say, can be increased without having to decrease that of another ow whose allocation is already less than or equal to l Max-min fairness can be achieved exactly by centralized or distributed algorithms, which calculate the explicit rate of each ow However, most practical algorithms sacri ce the ideal objective in favor of simplicity of implementation [1] The simplest rate sharing algorithms are based on individual ows reacting to binary congestion signals.



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Fair sharing of a single link can be achieved by allowing rates to increase linearly in the absence of congestion and decrease exponentially as soon as congestion occurs [6] It has recently been pointed out that max-min fairness is not necessarily a desirable rate sharing objective and that one should rather aim to maximize overall utility, where the utility of each ow is a certain nondecreasing function of its allocated rate [15, 18] General bandwidth sharing objectives and algorithms are further discussed in Massoulie and Roberts [21] Distributed bandwidth sharing algorithms and associated mechanisms need to be robust to noncooperative user behavior A particularly promising solution is to perform bandwidth sharing by implementing per ow, fair queueing The feasibility of this approach is discussed by Suter et al.





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Comparing Firebase ML Kit's Text Recognition on Android & iOS
Comparing Google's Firebase ML Kit Text recognition feature on Android and iOS. ... As mentioned in Benchmarking TensorFlow Mobile on Android devices in  ...

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is required for the selection or use of such video programming or other programming services; 47 USC Section 522(6) Section 613(e) of the Communications Act, 47 USC Section 533(3), provides: Subject to paragraph (2), a State or franchising authority may hold any ownership interest in any cable system Any State or franchising authority shall not exercise any editorial control regarding the content of any cable service on a cable system in which such governmental entity holds ownership interest (other than programming on any channel designated for educational or governmental use), unless such control is exercised through an entity separate from the franchising authority At least one court has found that Section 533(e) is permissive rather than empowering ie, it does not furnish a federal grant of authority to provide a cable service, Time Warner Communications Inc v Borough of Schuylkill Haven, 784 F Supp 203, 213 (ED Pa 1992); but see Warner Cable Communications, Inc v City of Niceville, FL, 911 US 634, 635 (11th Cir 1990) (Section 533(e) authorizes local governments to own and operate their own cable systems ) In Marcus Cable Associates, LLC v City of Bristol, 237 FSupp2d 675 (WDVA 2002), the district court held that, because the City of Bristol lacks explicit or implicit authority to provide a cable television service, Virginia s strict version of Dillon s Rule (see Section 4421) requires that it be deemed to lack such authority The court also found that a cable television service is not an essential service and is thus not a public utility of the kind that the City was authorized to provide under Virginia law and the City s charter Following enactment of legislation allowing the City to provide a cable television service effective from July 1, 2003, the City dismissed its appeal 4412 Telecommunications services The term telecommunications service means the offering of telecommunications for a fee directly to the public, or to such classes of users as to be effectively available directly to the public, regardless of the facilities used 47 USC Section 3(46) The term telecommunications, in turn, means the transmission, between or among points speci ed by the user, of information of the user s choosing, without change in the form or content of the information as sent nd received 47 USC Section 3(43) Section 253(a) of the Telecommunications Act provides: No state or local statute or regulation or other state or local legal requirement may prohibit or have the effect of prohibiting the ability of any entity to provide any interstate or intrastate telecommunications service In Public Utility Commission of Texas, 1997 WL 603179 (October 1, 1997), the FCC ruled that the term any entity in Section 253(a) does not cover municipalities, as such The FCC found that the Texas prohibition on municipal telecommunications activities was an exercise of state sovereignty of the fundamental or traditional kind with which Congress does not readily interfere absent a clear indication of intent, and that Section 253(a) is not plain enough to satisfy the plain statement standard articulated in Gregory v Ashcroft, 501 US 452, 461 (1991) In City of Abilene v FCC, 164 F3d 49, 54 (DC Cir 1999), the US Court of Appeals for the DC Circuit upheld the FCC s decision, nding that it was not plain to the Commission, and it is not plain to us, that Section 253(a) was meant to include municipalities in the category any entity Under Gregory, the petition for judicial review must therefore be denied The court did not mention Abilene s leading authority, Salinas v United States, 522 US 52 (1999), which was decided while Abilene was on appeal, in which a unanimous Supreme Court held.

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Recognition (OCR) method through an android app. This paper ... brought out using a android mobile phone working on Tesseract OCR engine. The android ...

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[29], where it is demonstrated that an appropriate choice of packets to be rejected in case of congestion (namely, packets at the front of the longest queues) considerably improves both fairness and ef ciency 1642 Randomly Varying Traf cRelated: NET Codabar Generating , Generate ITF-14 NET , Create Interleaved 2 of 5 NET.

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Base upper-level ontology (BULO) Guidance, report EU-IST ntegrated Project (IP) IST-2003-506826 SEKT), 2004. . In this chapter, we look at the application of such technology to three aspects of knowledge access: semantic search and browse tools; the generation of information expressed in natural language from formal (ontological) knowledge bases (natural language generation); and the intelligent delivery of information to multiple end-user information appliances (device ndependence). Finally, we describe SEKTAgent, a knowledge management tool which illustrates the use of all three of these technologies. Visual Basic .NET Using Barcode generation for Visual .Related: 

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received such scant attention, in comparison with other aspects of testing The ITC Guidelines for Test Use (2001) emphasise the importance of providing feedback and of reporting that is unbiased and that does not over-interpret the results of a test The more recent Guidelines on Computer Based Testing and Internet-Delivered Testing (ITC, 2005) also place an emphasis on the need for test developers, test distributors, and test users to pay attention to the provision of feedback In the traditional I/O testing scenario, results (especially of personality and other self-report inventories) were often fed back to test takers in a face-to-face session that provided opportunities for the feedback provider to address issues, and the recipient of the information to ask questions While it is still recommended that complex score reporting (such as the feedback of the results of a multi-scale personality inventory) should be supported as much as possible or practical with personal contact, the growth of Internet-based testing has tended to make feedback and reporting as remote an event as the test administration Luecht has relatively little to say about reporting, as he is dealing with the relatively simple case of an examination, which produces a single outcome, possibly with some diagnostic breakdown of subscores The more complex issue of reporting back to non-experts (test takers, line managers, children, parents, etc) on constructs such as personality, intelligence, or motivation needs further attention While as psychometricians we rightly tend to pay attention to the validity of a test, the actual impact the test has on people is mediated through reporting Reviews of tests tend to focus on the test itself and ignore the computer-based test interpretation reports that test users may be provided with This issue has been addressed recently by the BPS in their test review procedure The EFPA Test Review Criteria (Bartram, 2002) also contain criteria for the description and evaluation of computer-generated reports The latest edition of BPS Reviews (these reviews are published on the BPS Psychological Testing Centre website wwwpsychtestingorguk) is using this model and will be providing reviews of computer generated reports as well as of the tests from which they are generated In short, there are three distinct ways we can look at validity 1 What is the validity of the test score What does it correlate with What is the convergent and divergent construct validity What is its criterion related validity for various criteria And so on 2 Where the test scores are used to generate a report, what is the validity of the link between the statements made in the report and the test scores If the report provides an interpretation for a lay user, then the consequences of the test will no longer be determined by the scores on the test, but by the words in the report 3 Finally, while a report may faithfully represent the information contained in the test scores, those who have access to the report may not ave suf cient training or knowledge to understand that information and may misapply or misuse it.

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Text Recognition API Overview | Mobile Vision | Google Developers
Also, note that we ultimately plan to wind down the Mobile Vision API , with all new on-device ML capabilities released via ML Kit. Feel free to reach out to ...

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Sanster/DeepAndroidOcr: Offline android OCR app using ... - GitHub
Offline android OCR app using deep learning. Contribute to Sanster/ DeepAndroidOcr development by creating an account on GitHub .












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