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Navigation is a feature of maps and navigation systems that provides directions to drivers and pedestrians. This is typically accomplished through the use of globally-sourced, satellite-based positioning systems or locally-sourced, vehicle-mounted position and inertial reference systems. Navigation systems contain a map database of roads, intersections, terrain, and other points of interest, either pre-loaded into the system or provided in an electronic readable form.
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Return the minimum (nearest) indexed value from the points on each edge.
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[~,v] = map.nearest(x,y);

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x,y – nearest value

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rng = gca;
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An Eton student who threw a milkshake over the head of the woman who launched a venomous “racist” political attack on Jeremy Corbyn has said he will apologise for his action and that no harm was intended.

Alec Rees, 20, told a BBC documentary about the incident that he “didn’t quite anticipate the impact” of the action.

But he insisted he was “not a racist”, and that he had even complimented the woman on her dress.

The actor and drama student, who has been in Eton since the age of seven, was sitting in a pub with other students when the incident happened on 1 April.

Speaking in an interview with a BBC television crew, he said: “I’d just had a bet with one of my friends that I would not be knocked off my feet.

“I’d had milkshakes in the past from all sorts of people and it never had any effect on me or any consequence.”

He continued: “I just thought, ‘Shake it off’, and then she just went up really well.”

The woman, whom he described as having “a well
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Huawei DRA-LX2 Flash File Y5 Prime 2018 Sp Flash Tool DA Auth Fix Customer Care Firmware1. Field of the Invention
The present invention relates to the field of speech recognition.
2. Description of Related Art
Automatic speech recognition (ASR) is one of the most promising technologies for efficient interaction with a computer. ASR technology utilizes speech recognition engines which operate on speech input to convert the input speech to text. ASR is available in many applications such as automated financial systems, car navigation systems, automobile crash avoidance systems, stock quote and weather report systems.
To be effective, ASR systems must be configured to recognize specific speech inputs. Thus, it is highly desirable to achieve optimal speech recognition accuracy within an ASR system in order to achieve the highest possible system performance. The configuration of an ASR system that achieves high speech recognition performance requires optimization of two conflicting factors: speech recognition accuracy and system performance.
Speech recognition accuracy is optimized by selecting an acoustic model, which models the speech signals that the speech recognition engine will be operating on. The acoustic model includes vocabularies of words, phonemes, and/or phrases of the language being processed by the ASR engine. By selecting an acoustic model that is adapted to the speech characteristics of the speech input, an ASR engine can effectively operate on the speech input.
It is desirable to select an acoustic model that achieves the highest possible recognition accuracy for speech inputs that are within a particular class. For example, if a speech recognition engine is selecting words and not sentences, the acoustic model should be configured for the most likely words to be uttered within a sentence. Similarly, a speech recognition engine selecting syllables should be configured to recognize a syllable that is most likely to be spoken within a particular sentence. Such models are optimally configured to achieve the highest recognition accuracy within the language classes most likely to be uttered within the speech input being processed.
The configuration of an ASR system that achieves the highest system performance is performed by setting an appropriate language model