695 search results - page 8 / 139 » Convex Learning with Invariances |
ACCV
2007
Springer
14 years 1 months ago
2007
Springer
This paper introduces a novel convex kernel based method for color constancy computation with explicit illuminant parameter estimation. A simple linear render model is adopted and ...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
ESANN
2007
13 years 9 months ago
2007
We discuss the use in machine learning of a general type of convex optimisation problem known as semi-definite programming (SDP) [1]. We intend to argue that SDP’s arise quite n...
GFKL
2007
Springer
13 years 11 months ago
2007
Springer
Kernel methods offer a flexible toolbox for pattern analysis and machine learning. A general class of kernel functions which incorporates known pattern invariances are invariant d...
APLAS
2010
ACM
13 years 7 months ago
2010
ACM
Abstract. By combining algorithmic learning, decision procedures, predicate abstraction, and simple templates, we present an automated technique for finding quantified loop invaria...