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KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
Kernel-Function-Clustering-Based-on-Ant-Colony-Al
- Cluster analysis one of the several important tools in modern data analysis, and the clustering can be regarded as an optimization problem. The underlying assumption is that there are natural tendencies of cluster or group structure in the da
Kernel_particle_filter_for_visual_tracking
- the Kernel Particle Filter (KPF)—is proposed for visual tracking in image sequences. The KPF invokes kernels to form a continuous estimate of the posterior density function. Particles are allocated based on the gradient information estimated
yang-n-59-bias-correction
- A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction
IJSRON1201344
- Generalized Spatial Kernel based Fuzzy C-Means Clustering Algorithm for Image Segmentation
Image-Denoising-by-Adaptive-Kernel-Regression
- This paper introduces an extremely robust adaptive denoising filter in the spatial domain. The filter is based on non-parametric statistical estimation methods, and in particular generalizes an adaptive method proposed earlier by Fukunaga [1]
Java-virtual-machine-and-migration
- 探索并实现一个基于嵌入式应用平台的 Java虚拟机 .在移植过程中所采用的平台是 Motorola的 MPC5 5 5芯片 ETAS实验板 ,虚拟机的实现平台是 RTXC实时操作系统 .所实现的 Java虚拟机可以在 RTXC的内核机制下实现调度 ,并且可运行简单的 Java用例 ,对 Java虚拟机在嵌入式系统中的应用具有重要的指导意义 .-Exploration and implementation of the Java Virtual Machine-based platform for