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128
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ICASSP
2008
IEEE
15 years 11 months ago
Learning the kernel via convex optimization
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
Seung-Jean Kim, Argyrios Zymnis, Alessandro Magnan...
126
Voted
ACCV
2007
Springer
15 years 10 months ago
Color Constancy Via Convex Kernel Optimization
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 ...
Xiaotong Yuan, Stan Z. Li, Ran He
123
Voted
IROS
2006
IEEE
120views Robotics» more  IROS 2006»
15 years 10 months ago
Optimal local map size for EKF-based SLAM
Abstract— In this paper we show how to optimize the computational cost and maximize consistency in EKF-based SLAM for large environments. We combine Local Mapping with Map Joinin...
Lina María Paz, José Neira
140
Voted
ICMCS
2005
IEEE
99views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Finding the Optimal Temporal Partitioning of Video Sequences
The existing techniques for shot partitioning either process each shot boundary independently or proceed sequentially. The sequential process assumes the last shot boundary is cor...
Ba Tu Truong, Svetha Venkatesh
EMO
2005
Springer
68views Optimization» more  EMO 2005»
15 years 10 months ago
Multi-objective Optimization of Problems with Epistemic Uncertainty
Abstract. Multi-objective evolutionary algorithms (MOEAs) have proven to be a powerful tool for global optimization purposes of deterministic problem functions. Yet, in many real-w...
Philipp Limbourg