73 search results - page 14 / 15 » Sparse Bayesian Learning Based on an Efficient Subset Select... |
EDUTAINMENT
2007
Springer
13 years 9 months ago
2007
Springer
High compression of plant geometry is an important aspect in fast realistic visualization of plants. Hierarchical structuring plant morphology is a key factor for real time plant r...
JCP
2008
13 years 5 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
SSPR
2004
Springer
13 years 11 months ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...