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Description: 自己的小作,能简化繁琐的通讯帧格式的检测工作,在常量数组 PROTOCOL_ARRAY 中定义一个或多个通讯帧格式,能同时将多个有效帧检测出来,采样队列的方式,高效.-for their small, can simplify the cumbersome communications frame format detection, the constants defined array PROTOCOL_ARRAY one or more communications frame format. while many can be effectively detected frame, sampling cohort approach and efficient.
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Size: 5225 |
Author: 陈文杰 |
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Description: DET,在语音识别中得到了广泛的应用,能对一语音识别系统的性能作出说明,有于语音识别系统的设计-time of diastolic flow in Speech Recognition has been widely used and is capable of a speech recognition system performance make it clear that in a speech recognition system design
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Size: 1585 |
Author: 刘品 |
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Description: DET,在语音识别中得到了广泛的应用,能对一语音识别系统的性能作出说明,有于语音识别系统的设计-time of diastolic flow in Speech Recognition has been widely used and is capable of a speech recognition system performance make it clear that in a speech recognition system design
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Size: 1603 |
Author: 刘品 |
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Description: DET,在语音识别中得到了广泛的应用,能对一语音识别系统的性能作出说明,有于语音识别系统的设计-time of diastolic flow in Speech Recognition has been widely used and is capable of a speech recognition system performance make it clear that in a speech recognition system design
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Size: 2738 |
Author: 刘品 |
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Description: This a collection of utilities for warping of MRI image volumes.
See the man pages for documentation.
The warp method is described in detail in the following paper
Enhancing the Multivariate Signal of 15-O water PET Studies With a
New Non-Linear Neuroanatomical Registration Algorithm
IEEE Transactions on Medical Imaging, 1999, 18(6), p306-19
-This a collection of utilities for warpi Vi of MRI image volumes. See the man pages for doc umentation. The warp method is described in det annexed in the following paper Enhancing the Multiv ariate Signal of 15-O water PET Studies With a Ne w Non-Linear Registration Al Neuroanatomical gorithm IEEE Transactions on Medical Imaging, 1999, 18 (6), p306-19
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Size: 141396 |
Author: 胡顺波 |
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Description: * 高斯列主元素消去法求解矩阵方程AX=B,其中A是N*N的矩阵,B是N*M矩阵
* 输入: n----方阵A的行数
* a----矩阵A
* m----矩阵B的列数
* b----矩阵B
* 输出: det----矩阵A的行列式值
* a----A消元后的上三角矩阵
* b----矩阵方程的解X
-out the main elements of Gaussian elimination method for solving matrix equations AX = B, where A is N * N matrix, B is N * M matrix * Input : n ---- A phalanx of a few-a matrix * A * m-matrix shown in a few B * b ---- Matrix B * output : det-A matrix of a determinant value ---- A * Elimination of upper triangular matrix * b ---- Matrix The X-Solutions
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Size: 3241 |
Author: xuyan |
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Description: Robustnesstochangesinilluminationconditionsaswellas viewing perspectives is an important requirement formany computer vision applications. One of the key fac-ors in enhancing the robustness of dynamic scene analy-sis that of accurate and reliable means for shadow de-ection. Shadowdetectioniscriticalforcorrectobjectde-ection in image sequences. Many algorithms have beenproposed in the literature that deal with shadows. How-ever,acomparativeevaluationoftheexistingapproachesisstill lacking. In this paper, the full range of problems un-derlyingtheshadowdetectionareidenti?edanddiscussed.Weclassifytheproposedsolutionstothisproblemusingaaxonomyoffourmainclasses, calleddeterministicmodeland non-model based and statistical parametric and non-parametric. Novelquantitative(detectionanddiscrimina-ionaccuracy)andqualitativemetrics(sceneandobjectin-dependence,?exibilitytoshadowsituationsandrobustnesso noise) are proposed to evaluate these classes of algo-rithms on a benchmark suite of indoor and outdoor videosequences.-Robustnesstochangesinilluminationcon ditionsaswellas viewing perspectives is an im portant requirement formany a computer vision pplications. One of the key fac-ors in enhancin g the robustness of dynamic scene analy-sis is not hat of accurate and reliable means for de shadow - ection. Shadowdetectioniscriticalforcorr ectobjectde - ection in image sequences. Many a lgorithms have beenproposed in the literature that deal with shadows. How-ever, acomparativeevaluationoftheexistingappro achesisstill lacking. In this paper, the full range of problems un-derlyingtheshad owdetectionareidenti edanddiscussed.Wecla ssifytheproposedsolutionstothisproblemus ingaaxonomyoffourmainclasses. calleddeterministicmodeland non-model base d and statistical parametric and non-parametr id. Novelquantitative (det
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Size: 91561 |
Author: liangqin |
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Description: 求误识率——拒识率曲线(DET曲线)
常应用于说话人识别-seek error rate -- reject rate curve (DET curve) often used in speaker recognition
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Size: 287190 |
Author: 康丹丹 |
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Description: 计算误识率——拒识率曲线(VC++)
应用于说话人识别系统中。-calculation error rate -- reject rate curve (VC) for speaker recognition system.
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Size: 597357 |
Author: 康丹丹 |
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Description: To invert a square Galois array, use the inv function. Related is the det function, which computes the determinant of a Galois array.
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Size: 1277 |
Author: 薛良 |
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Description: DET,在语音识别中得到了广泛的应用,能对一语音识别系统的性能作出说明,有于语音识别系统的设计-time of diastolic flow in Speech Recognition has been widely used and is capable of a speech recognition system performance make it clear that in a speech recognition system design
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Size: 1024 |
Author: 刘品 |
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Description: DET,在语音识别中得到了广泛的应用,能对一语音识别系统的性能作出说明,有于语音识别系统的设计-time of diastolic flow in Speech Recognition has been widely used and is capable of a speech recognition system performance make it clear that in a speech recognition system design
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Size: 2048 |
Author: 刘品 |
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Description: * 高斯列主元素消去法求解矩阵方程AX=B,其中A是N*N的矩阵,B是N*M矩阵
* 输入: n----方阵A的行数
* a----矩阵A
* m----矩阵B的列数
* b----矩阵B
* 输出: det----矩阵A的行列式值
* a----A消元后的上三角矩阵
* b----矩阵方程的解X
-out the main elements of Gaussian elimination method for solving matrix equations AX = B, where A is N* N matrix, B is N* M matrix* Input : n---- A phalanx of a few-a matrix* A* m-matrix shown in a few B* b---- Matrix B* output : det-A matrix of a determinant value---- A* Elimination of upper triangular matrix* b---- Matrix The X-Solutions
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Size: 3072 |
Author: xuyan |
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Description: 求误识率——拒识率曲线(DET曲线)
常应用于说话人识别-seek error rate-- reject rate curve (DET curve) often used in speaker recognition
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Size: 286720 |
Author: 康丹丹 |
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Description: 计算误识率——拒识率曲线(VC++)
应用于说话人识别系统中。-calculation error rate-- reject rate curve (VC) for speaker recognition system.
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Size: 856064 |
Author: 康丹丹 |
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Description: DET Curve and EER computation
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Size: 399360 |
Author: 姜卫武 |
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Description: c语言求行列式值,输入条件:矩阵的秩,数组指针-get the det of a matrix
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Size: 1024 |
Author: 秋风 |
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Description: MTK6250 Disable Headphone det
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Size: 89088 |
Author: gates |
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Description: With the help of the compute DET you can draw a det diagram
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Size: 1024 |
Author: balums
|
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Description: FAR FRR DET ROC for biometrics system
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Size: 4204544 |
Author: ramzis12 |
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