267 search results - page 22 / 54 » Ridgelet kernel regression |
CVPR
2010
IEEE
13 years 6 months ago
2010
IEEE
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
ICASSP
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— This work considers a combination classificationregression based framework with the proposal of using learned kernels in modified support vector regression to provide...
AAAI
2007
13 years 10 months ago
2007
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...
AIA
2007
13 years 9 months ago
2007
Kernel Ridge Regression (KRR) and the recently developed Kernel Aggregating Algorithm for Regression (KAAR) are regression methods based on Least Squares. KAAR has theoretical adv...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...