Sökning: "non-parametric density estimators"
Hittade 3 avhandlingar innehållade orden non-parametric density estimators.
1. Efficient Image Retrieval with Statistical Color Descriptors
Sammanfattning : Color has been widely used in content-based image retrieval (CBIR) applications. In such applications the color properties of an image are usually characterized by the probability distribution of the colors in the image. LÄS MER
2. Continuous-Time Models in Kernel Smoothing
Sammanfattning : This thesis consists of five papers (Papers A-E) treating problems in non-parametric statistics, especially methods of kernel smoothing applied to density estimation for stochastic processes (Papers A-D) and regression analysis (Paper E). A recurrent theme is to, instead of treating highly positively correlated data as ``asymptotically independent'', take advantage of local dependence structures by using continuous-time models. LÄS MER
3. On Symmetries and Metrics in Geometric Inference
Sammanfattning : Spaces of data naturally carry intrinsic geometry. Statistics and machine learning can leverage on this rich structure in order to achieve efficiency and semantic generalization. Extracting geometry from data is therefore a fundamental challenge which by itself defines a statistical, computational and unsupervised learning problem. LÄS MER