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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 ... Text recognition is the process of detecting text in images and video streams and ... Java is a registered trademark of Oracle and/or its affiliates.

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In this section, we show that the correlation structure present in long-range dependent (LRD) traf c can be detected and used to predict the future over time scales relevant to congestion control. Time series analysis and prediction theory have long histories with techniques spanning a number of domains from estimation theory to regression theory to neural network based techniques to mention a few [3, 17, 22, 40, 44, 45, 49]. In many senses, it is an ``art form'' with different methods giving variable performance depending on the context and modeling assumptions. Our goal is not to perform optimal time series prediction but rather to choose a simple, easyto-implement scheme, and use it as a reference for studying congestion control techniques and their ef cacy at exploiting the correlation structure present in LRD traf c for improving network performance. Our prediction method, which is described next, is a time domain technique and can be viewed as an instance of conditional expectation estimation.



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Using Tesseract from java - Stack Overflow
It gives instructions on how to build a java project to read an image and convert it into text using the tesseract OCR API.

Assume we are given a wide-sense stationary stochastic process xt tPZ and two numbers T1 ; T2 > 0. At time t, we have at our disposal a P

qi ;





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Using Tesseract from java - Stack Overflow
It gives instructions on how to build a java project to read an image and convert it into text using the tesseract OCR API.

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55 CONCLUDING REMARKS In this chapter, the two major classes of scheduling heuristics have been analyzed, namely, list scheduling and clustering A myriad of algorithms belonging to either one of these two classes (or to both as discussed in Section 534) has been proposed in the past In face of this, the discussion concentrated on the essential and common concepts and techniques encountered in these algorithms In Section 63, 7, and 8, it will be seen how these fundamental heuristics, especially list scheduling, can be employed under more sophisticated system models 6 looks at more advanced scheduling techniques, which can be used in combination with the fundamental heuristics Furthermore, it returns to the more theoretic aspects of task scheduling, like integrating heterogeneous processors and studying the complexity of variations of the general scheduling problem

where qi is a sample path of xt over time interval t T1 ; t . For notational clarity, let V1 P

xi ;

while (true) { if (node == null) return false; if(node.compare(nodeToFind) == -1) node = node.smaller; else if(node.compare(nodeToFind) == 1) node = node.bigger; else return true; } }

V2

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Simple Tesseract OCR — Java - Rahul Vaish - Medium
14 Jun 2018 ... Simple Tesseract OCR — Java . Step#1: Download tessdata [eng.traineddata] Step #2: Get a sample image (Grayscale converted) with something written on it. Step#3: Add the below dependency in the pom.xml- Step#4: Write the below code snippet to perform OCR - Step#5: On executing the above code, the output is displayed on ...

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Using Tesseract from java - Stack Overflow
It gives instructions on how to build a java project to read an image and convert it into text using the tesseract OCR API.

This chapter concludes with some bibliographic notes A comprehensive survey of task scheduling algorithms can be found in Kwok and Ahmad [113] Comparisons of algorithms are often a good starting and orientation point for studying task scheduling; for example, see Ahmad et al [6], Gerasoulis and Yang [76], Khan et al [103], Kwok and Ahmad [111], and McCreary et al [136] Other comprehensive publications that (at least in part) study task scheduling algorithms and its theory are by Chr tienne et al [34], Coffman [37], Cosnard and Trystram [45], Darte et al [52], El-Rewini and Abd-El-Barr [60], El-Rewini and Lewis [64], and El-Rewini, Lewis, and Ali [65]

xi :

a may be thought of as the aggregate traf c observed over the ``recent past'' t T1 ; t and V1, V2 are composite random variables denoting the recent past and near future. We are interested in computing the conditional probability PrfV2 bjV1 ag 18:3

for b in the range of V2 . For example, if a represented a ``high'' traf c volume, then we may be interested in knowing what the probability of encountering yet another high traf c volume in the near future would be. Let

56 EXERCISES 51 When nodes are ordered according to a priority scheme (eg, bottom level), it is possible that some nodes have the same priority Propose tie breaking metrics for these cases (Suggestion: Consider the edges that are incident on the nodes in question) 52 Use list scheduling with start time minimization to schedule the following task graph on four processors:

qi ;

t t where t t kT1 ; k 0; 1; . . . ; Vmax and Vmin denote the highest and lowest traf c volume seen so far at time t, respectively. t To make sense of ``high'' and ``low,'' we will partition the range between Vmax and t t t Vmin into h levels with quantization step m Vmax Vmin =h: t t t t t 0; Vmin m ; Vmin m; Vmin 2m ; Vmin 2m; Vmin 3m ; . . . t t t Vmin h 2 m; Vmin h 1 m ; Vmin h 1 m; I ;

Avoiding recursion in the print() example is harder. In this case we need to maintain a stack containing the branches: we push nodes onto the stack as we go down the tree, then pop them off the stack as we go back up. Details of how to do this can be found in Section 2.3.1 of The Art of Computer Programming, Volume 1 by Knuth. These approaches to searching and enumerating are used in the ordered binary tree container discussed in Section 7.14.

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Java OCR - Java OCR is a suite of pure java libraries for image processing and character recognition. Small memory footprint and lack of external dependencies  ...












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