搜索资源列表
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- 基于pca和dpca的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on the pca and dpca program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedure is simple
001
- 基于pca和dpca以及流形法的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on the pca and dpca and manifold method program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedu
002
- 基于pca和dpca以及流形法和动态流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on the pca and dpca and manifold method and dynamic manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good e
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- 基于pca和kpca以及流形法和核流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on the pca and dpca and manifold method and procedure of the nuclear manifold hair, applied to fault detection and fault diagnosis, and fault recognition, identification of the go
0
- 基于kpca以及核流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on kpca and nuclear manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, procedure is
000
- 基于kpca以及dpca,核流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on kpca and dpca, nuclear manifold hair of program, used in the fault detection and fault diagnosis, and fault recognition, identification of the good effect, the object for CSTR, pr
Trajectory-tracking-from-detector
- The files written out by the detection process are used as input for the tracker to infer trajectories of each object. The tracker needs to deal with different scenarios
fdtool
- 利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features. Object/face detection is performed by evaluating trained models over multi-scan windows with
darknet
- 神经网络引入后，检测框架变得更快更准确。然而，大多数检测方法受限于少量物体。检测和训练数据上联合训练物体检测器，用有标签的检测图像来学习精确定位，同时用分类图像来增加词汇和鲁棒性。原YOLO系统上生成YOLOv2检测器；在ImageNet中超过9000类的数据和COCO的检测数据上，合并数据集和联合训练YOLO9-After the neural network is introduced, it is becoming faster and more accurate detection fr
CPPADA
- C+++视频cvncvb监控系统,根据支持向量机的特征提取对视频中的物体进行检测识别-C++ video cvbcvb monitoring system, according to the support vector machine to extract the characteristics of the object in the video detection and identification