BCIgui/Masterarbeit/openvibe/extras-master/plugins/processing/riemannian/box-tutorials/1.5-Classifier-Testing.xml

<OpenViBE-Scenario>
	<FormatVersion>2</FormatVersion>
	<Creator>OpenViBE Designer</Creator>
	<CreatorVersion>2.2.0</CreatorVersion>
	<Settings>
		<Setting>
			<Identifier>(0x001f9ac9, 0x8d7740bc)</Identifier>
			<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
			<Name>Data</Name>
			<DefaultValue>${Path_Data}/scenarios/signals/bci-motor-imagery.ov</DefaultValue>
			<Value>${Path_Data}/scenarios/signals/bci-motor-imagery.ov</Value>
		</Setting>
		<Setting>
			<Identifier>(0x0011d622, 0x7d4c80a8)</Identifier>
			<TypeIdentifier>(0x79a9edeb, 0x245d83fc)</TypeIdentifier>
			<Name>Directory</Name>
			<DefaultValue>${Player_ScenarioDirectory}/</DefaultValue>
			<Value>${Player_ScenarioDirectory}</Value>
		</Setting>
		<Setting>
			<Identifier>(0x0064fe21, 0x6acf20ec)</Identifier>
			<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
			<Name>Stimulation Class 1</Name>
			<DefaultValue>OVTK_GDF_Left</DefaultValue>
			<Value>OVTK_GDF_Left</Value>
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		<Setting>
			<Identifier>(0x0017cd5f, 0xae3155d8)</Identifier>
			<TypeIdentifier>(0x2c132d6e, 0x44ab0d97)</TypeIdentifier>
			<Name>Stimulation Class 2</Name>
			<DefaultValue>OVTK_GDF_Right</DefaultValue>
			<Value>OVTK_GDF_Right</Value>
		</Setting>
		<Setting>
			<Identifier>(0x00006ead, 0x71386450)</Identifier>
			<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
			<Name>Log Level</Name>
			<DefaultValue>Information</DefaultValue>
			<Value>Information</Value>
		</Setting>
		<Setting>
			<Identifier>(0x001d22e8, 0xdd0737ae)</Identifier>
			<TypeIdentifier>(0x5261636b, 0x41646170)</TypeIdentifier>
			<Name>Adaptation</Name>
			<DefaultValue>No</DefaultValue>
			<Value>No</Value>
		</Setting>
	</Settings>
	<Inputs></Inputs>
	<Outputs></Outputs>
	<Boxes>
		<Box>
			<Identifier>(0x0000241d, 0x0000786c)</Identifier>
			<Name>LWF</Name>
			<AlgorithmClassIdentifier>(0x9a93af80, 0x6449c826)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x5ba36127, 0x195feae1)</TypeIdentifier>
					<Name>Input Signal</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Output Covariance Matrix</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x5261636b, 0x45535449)</TypeIdentifier>
					<Name>Estimator</Name>
					<DefaultValue>Covariance</DefaultValue>
					<Value>Ledoit and Wolf</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Center Data</Name>
					<DefaultValue>true</DefaultValue>
					<Value>true</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0xa88b3667, 0x0871638c)</TypeIdentifier>
					<Name>Log Level</Name>
					<DefaultValue>Information</DefaultValue>
					<Value>$var{Log Level}</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>528</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>880</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0xa227af77, 0xcd1af363)</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x666fffff, 0x666fffff)</Identifier>
					<Value></Value>
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				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>1</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>3</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>1</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00002816, 0x00002fc7)</Identifier>
			<Name>MDM Rebias</Name>
			<AlgorithmClassIdentifier>(0x918f6952, 0xb22ddf0d)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Expected Label</Name>
				</Input>
				<Input>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Input Matrix</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Label</Name>
				</Output>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Distance</Name>
				</Output>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Probability</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
					<Name>Filename to load classifier model</Name>
					<DefaultValue>${Player_ScenarioDirectory}/input-classifier.xml</DefaultValue>
					<Value>${Player_ScenarioDirectory}/Training-MDM-Rebias.xml</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
					<Name>Filename to save classifier model</Name>
					<DefaultValue>${Player_ScenarioDirectory}/output-classifier.xml</DefaultValue>
					<Value>${Player_ScenarioDirectory}/output-classifier.xml</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x5261636b, 0x41646170)</TypeIdentifier>
					<Name>Adaptation</Name>
					<DefaultValue>No</DefaultValue>
					<Value>$var{Adaptation}</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0xa88b3667, 0x0871638c)</TypeIdentifier>
					<Name>Log Level</Name>
					<DefaultValue>Information</DefaultValue>
					<Value>Information</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>608</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>880</Value>
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				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0xb85fcd48, 0x1d5e5748)</Value>
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				<Attribute>
					<Identifier>(0x666fffff, 0x666fffff)</Identifier>
					<Value></Value>
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				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>3</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>4</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>2</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00002816, 0x00002fc9)</Identifier>
			<Name>FgMDMRT</Name>
			<AlgorithmClassIdentifier>(0x918f6952, 0xb22ddf0d)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Expected Label</Name>
				</Input>
				<Input>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Input Matrix</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Label</Name>
				</Output>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Distance</Name>
				</Output>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Probability</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
					<Name>Filename to load classifier model</Name>
					<DefaultValue>${Player_ScenarioDirectory}/input-classifier.xml</DefaultValue>
					<Value>${Player_ScenarioDirectory}/Training-FgMDMRT.xml</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
					<Name>Filename to save classifier model</Name>
					<DefaultValue>${Player_ScenarioDirectory}/output-classifier.xml</DefaultValue>
					<Value>${Player_ScenarioDirectory}/output-classifier.xml</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x5261636b, 0x41646170)</TypeIdentifier>
					<Name>Adaptation</Name>
					<DefaultValue>No</DefaultValue>
					<Value>$var{Adaptation}</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0xa88b3667, 0x0871638c)</TypeIdentifier>
					<Name>Log Level</Name>
					<DefaultValue>Information</DefaultValue>
					<Value>Information</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
			<Attributes>
				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>608</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>1024</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0xb85fcd48, 0x1d5e5748)</Value>
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				<Attribute>
					<Identifier>(0x666fffff, 0x666fffff)</Identifier>
					<Value></Value>
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				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>3</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>4</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>2</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x0000656b, 0x000060cb)</Identifier>
			<Name>MDM</Name>
			<AlgorithmClassIdentifier>(0x918f6952, 0xb22ddf0d)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Expected Label</Name>
				</Input>
				<Input>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Input Matrix</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Label</Name>
				</Output>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Distance</Name>
				</Output>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Probability</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
					<Name>Filename to load classifier model</Name>
					<DefaultValue>${Player_ScenarioDirectory}/input-classifier.xml</DefaultValue>
					<Value>${Player_ScenarioDirectory}/Training-MDM.xml</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x330306dd, 0x74a95f98)</TypeIdentifier>
					<Name>Filename to save classifier model</Name>
					<DefaultValue>${Player_ScenarioDirectory}/output-classifier.xml</DefaultValue>
					<Value>${Player_ScenarioDirectory}/output-classifier.xml</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x5261636b, 0x41646170)</TypeIdentifier>
					<Name>Adaptation</Name>
					<DefaultValue>No</DefaultValue>
					<Value>$var{Adaptation}</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0xa88b3667, 0x0871638c)</TypeIdentifier>
					<Name>Log Level</Name>
					<DefaultValue>Information</DefaultValue>
					<Value>Information</Value>
					<Modifiability>false</Modifiability>
				</Setting>
			</Settings>
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				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>608</Value>
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				<Attribute>
					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
					<Value>736</Value>
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					<Identifier>(0x4e7b798a, 0x183beafb)</Identifier>
					<Value>(0xb85fcd48, 0x1d5e5748)</Value>
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				<Attribute>
					<Identifier>(0x666fffff, 0x666fffff)</Identifier>
					<Value></Value>
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				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
					<Value>3</Value>
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				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
					<Value>4</Value>
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				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>2</Value>
				</Attribute>
			</Attributes>
		</Box>
		<Box>
			<Identifier>(0x00006be7, 0x0000270b)</Identifier>
			<Name>Graz MDM</Name>
			<AlgorithmClassIdentifier>(0x00dd290d, 0x5f142820)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Stimulations</Name>
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				<Input>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Amplitude</Name>
				</Input>
			</Inputs>
			<Outputs>
				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Confusion Matrix</Name>
				</Output>
			</Outputs>
			<Settings>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Show instruction</Name>
					<DefaultValue>true</DefaultValue>
					<Value>true</Value>
					<Modifiability>false</Modifiability>
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				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Show feedback</Name>
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					<Value>true</Value>
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				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Delay feedback</Name>
					<DefaultValue>false</DefaultValue>
					<Value>false</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Show accuracy</Name>
					<DefaultValue>false</DefaultValue>
					<Value>true</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
					<Name>Predictions to integrate</Name>
					<DefaultValue>5</DefaultValue>
					<Value>5</Value>
					<Modifiability>false</Modifiability>
				</Setting>
				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Positive feedback only</Name>
					<DefaultValue>false</DefaultValue>
					<Value>false</Value>
					<Modifiability>false</Modifiability>
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				<Attribute>
					<Identifier>(0x1fa7a38f, 0x54edbe0b)</Identifier>
					<Value>704</Value>
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					<Identifier>(0x207c9054, 0x3c841b63)</Identifier>
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				<Attribute>
					<Identifier>(0xc73e83ec, 0xf855c5bc)</Identifier>
					<Value>false</Value>
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				<Attribute>
					<Identifier>(0xc80ce8af, 0xf699f813)</Identifier>
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				<Attribute>
					<Identifier>(0xce18836a, 0x9c0eb403)</Identifier>
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				<Attribute>
					<Identifier>(0xcfad85b0, 0x7c6d841c)</Identifier>
					<Value>2</Value>
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		<Box>
			<Identifier>(0x00006be7, 0x0000270c)</Identifier>
			<Name>Graz MDM Rebias</Name>
			<AlgorithmClassIdentifier>(0x00dd290d, 0x5f142820)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
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				<Input>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Amplitude</Name>
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				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Confusion Matrix</Name>
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					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
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					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
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				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Show accuracy</Name>
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				<Setting>
					<TypeIdentifier>(0x007deef9, 0x2f3e95c6)</TypeIdentifier>
					<Name>Predictions to integrate</Name>
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					<Value>5</Value>
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				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
					<Name>Positive feedback only</Name>
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					<Modifiability>false</Modifiability>
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		<Box>
			<Identifier>(0x00006be7, 0x0000270e)</Identifier>
			<Name>Graz FgMDMRT</Name>
			<AlgorithmClassIdentifier>(0x00dd290d, 0x5f142820)</AlgorithmClassIdentifier>
			<Inputs>
				<Input>
					<TypeIdentifier>(0x6f752dd0, 0x082a321e)</TypeIdentifier>
					<Name>Stimulations</Name>
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					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Amplitude</Name>
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				<Output>
					<TypeIdentifier>(0x544a003e, 0x6dcba5f6)</TypeIdentifier>
					<Name>Confusion Matrix</Name>
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				<Setting>
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					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
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				<Setting>
					<TypeIdentifier>(0x2cdb2f0b, 0x12f231ea)</TypeIdentifier>
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				<BoxOutputIndex>0</BoxOutputIndex>
			</Source>
			<Target>
				<BoxIdentifier>(0x00006be7, 0x0000270e)</BoxIdentifier>
				<BoxInputIndex>0</BoxInputIndex>
			</Target>
		</Link>
		<Link>
			<Identifier>(0x00004371, 0x00003469)</Identifier>
			<Source>
				<BoxIdentifier>(0x0000241d, 0x0000786c)</BoxIdentifier>
				<BoxOutputIndex>0</BoxOutputIndex>
			</Source>
			<Target>
				<BoxIdentifier>(0x00002816, 0x00002fc7)</BoxIdentifier>
				<BoxInputIndex>1</BoxInputIndex>
			</Target>
		</Link>
		<Link>
			<Identifier>(0x000057f7, 0x00002085)</Identifier>
			<Source>
				<BoxIdentifier>(0x558c587f, 0x223f3b66)</BoxIdentifier>
				<BoxOutputIndex>0</BoxOutputIndex>
			</Source>
			<Target>
				<BoxIdentifier>(0x71322e63, 0x41ba161a)</BoxIdentifier>
				<BoxInputIndex>0</BoxInputIndex>
			</Target>
		</Link>
		<Link>
			<Identifier>(0x00005dec, 0x0000035f)</Identifier>
			<Source>
				<BoxIdentifier>(0x1396fde6, 0x1c649749)</BoxIdentifier>
				<BoxOutputIndex>0</BoxOutputIndex>
			</Source>
			<Target>
				<BoxIdentifier>(0x00006be7, 0x0000270c)</BoxIdentifier>
				<BoxInputIndex>0</BoxInputIndex>
			</Target>
		</Link>
		<Link>
			<Identifier>(0x00006cdb, 0x00004d41)</Identifier>
			<Source>
				<BoxIdentifier>(0x5194b6cb, 0x7e001786)</BoxIdentifier>
				<BoxOutputIndex>0</BoxOutputIndex>
			</Source>
			<Target>
				<BoxIdentifier>(0x558c587f, 0x223f3b66)</BoxIdentifier>
				<BoxInputIndex>0</BoxInputIndex>
			</Target>
		</Link>
		<Link>
			<Identifier>(0x00006fd9, 0x00007876)</Identifier>
			<Source>
				<BoxIdentifier>(0x71322e63, 0x41ba161a)</BoxIdentifier>
				<BoxOutputIndex>0</BoxOutputIndex>
			</Source>
			<Target>
				<BoxIdentifier>(0x0000241d, 0x0000786c)</BoxIdentifier>
				<BoxInputIndex>0</BoxInputIndex>
			</Target>
		</Link>
		<Link>
			<Identifier>(0x000072f3, 0x00001730)</Identifier>
			<Source>
				<BoxIdentifier>(0x1396fde6, 0x1c64974a)</BoxIdentifier>
				<BoxOutputIndex>0</BoxOutputIndex>
			</Source>
			<Target>
				<BoxIdentifier>(0x0000656b, 0x000060cb)</BoxIdentifier>
				<BoxInputIndex>0</BoxInputIndex>
			</Target>
		</Link>
		<Link>
			<Identifier>(0x000076c7, 0x000033b9)</Identifier>
			<Source>
				<BoxIdentifier>(0x0000241d, 0x0000786c)</BoxIdentifier>
				<BoxOutputIndex>0</BoxOutputIndex>
			</Source>
			<Target>
				<BoxIdentifier>(0x0000656b, 0x000060cb)</BoxIdentifier>
				<BoxInputIndex>1</BoxInputIndex>
			</Target>
		</Link>
		<Link>
			<Identifier>(0x1e23e99e, 0x6b3cf5e1)</Identifier>
			<Source>
				<BoxIdentifier>(0x2b88852d, 0x43d7a772)</BoxIdentifier>
				<BoxOutputIndex>0</BoxOutputIndex>
			</Source>
			<Target>
				<BoxIdentifier>(0x5194b6cb, 0x7e001786)</BoxIdentifier>
				<BoxInputIndex>0</BoxInputIndex>
			</Target>
		</Link>
	</Links>
	<Comments>
		<Comment>
			<Identifier>(0x000054d7, 0x00005ae3)</Identifier>
			<Text>Classifier processor
(Need to run previous scenario)</Text>
			<Attributes>
				<Attribute>
					<Identifier>(0x473d9a43, 0x97fc0a97)</Identifier>
					<Value>176</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
					<Value>640</Value>
				</Attribute>
			</Attributes>
		</Comment>
		<Comment>
			<Identifier>(0x000054d7, 0x00005ae6)</Identifier>
			<Text>Compute Covariance</Text>
			<Attributes>
				<Attribute>
					<Identifier>(0x473d9a43, 0x97fc0a97)</Identifier>
					<Value>176</Value>
				</Attribute>
				<Attribute>
					<Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
					<Value>576</Value>
				</Attribute>
			</Attributes>
		</Comment>
	</Comments>
	<Metadata>
		<Entry>
			<Identifier>(0x11f491f3, 0x047d65a5)</Identifier>
			<Type>(0x3bcce5d2, 0x43f2d968)</Type>
			<Data>[{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":1,"height":732,"identifier":"(0x000072ec, 0x00006065)","name":"","parentIdentifier":"(0xffffffff, 0xffffffff)","type":1,"width":1247},{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":1,"identifier":"(0x00006a3f, 0x00006097)","index":0,"name":"Default tab","parentIdentifier":"(0x000072ec, 0x00006065)","type":2},{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":2,"dividerPosition":341,"identifier":"(0x00000e3b, 0x00000e89)","index":0,"maxDividerPosition":687,"name":"Vertical split","parentIdentifier":"(0x00006a3f, 0x00006097)","type":4},{"boxIdentifier":"(0xffffffff, 0xffffffff)","childCount":2,"dividerPosition":603,"identifier":"(0x00000859, 0x00003b65)","index":0,"maxDividerPosition":1211,"name":"Horizontal split","parentIdentifier":"(0x00000e3b, 0x00000e89)","type":5},{"boxIdentifier":"(0x00006be7, 0x0000270e)","childCount":0,"identifier":"(0x00003f5d, 0x00006812)","index":1,"parentIdentifier":"(0x00000e3b, 0x00000e89)","type":3},{"boxIdentifier":"(0x00006be7, 0x0000270b)","childCount":0,"identifier":"(0x00007839, 0x00001ae3)","index":0,"parentIdentifier":"(0x00000859, 0x00003b65)","type":3},{"boxIdentifier":"(0x00006be7, 0x0000270c)","childCount":0,"identifier":"(0x00006fcc, 0x00005ae8)","index":1,"parentIdentifier":"(0x00000859, 0x00003b65)","type":3}]</Data>
		</Entry>
	</Metadata>
	<Attributes>
		<Attribute>
			<Identifier>(0x079d1f09, 0x667c7871)</Identifier>
			<Value></Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x4c90d4ad, 0x7a2554ec)</Identifier>
			<Value>320</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x60bc58ab, 0x7a1b4d83)</Identifier>
			<Value></Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x790d75b8, 0x3bb90c33)</Identifier>
			<Value>Thibaut Monseigne</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x7a3a1558, 0xf12c63c2)</Identifier>
			<Value></Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x7b814cca, 0x271df6dd)</Identifier>
			<Value>475</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x84009d7c, 0x3c4e763b)</Identifier>
			<Value></Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x8c1fc55b, 0x7b433dc2)</Identifier>
			<Value>1.0</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0x9f5c4075, 0x4a0d3666)</Identifier>
			<Value>Matrix Classification Testing Example</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0xf36a1567, 0xd13c53da)</Identifier>
			<Value></Value>
		</Attribute>
		<Attribute>
			<Identifier>(0xf6b2e3fa, 0x7bd43926)</Identifier>
			<Value>bci-examples</Value>
		</Attribute>
		<Attribute>
			<Identifier>(0xf8034a49, 0x8b3f37cc)</Identifier>
			<Value>Inria</Value>
		</Attribute>
	</Attributes>
</OpenViBE-Scenario>