120 search results - page 18 / 24 » Convex Principal Feature Selection |
JMLR
2010
13 years 2 months ago
2010
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
AVSS
2009
IEEE
14 years 29 days ago
2009
IEEE
We present a novel approach to 3D face recognition using compact face signatures based on automatically detected 3D landmarks. We represent the face geometry with inter-landmark d...
CEC
2008
IEEE
14 years 2 months ago
2008
IEEE
— In this paper, we propose a population-based implementation of simulated annealing to tackle multi-objective optimisation problems, in particular those of combinatorial nature....