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» Variability and Component Composition
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ICARCV
2008
IEEE
222views Robotics» more  ICARCV 2008»
14 years 3 months ago
Robust fusion using boosting and transduction for component-based face recognition
—Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise. The challenge met in this paper is...
Fayin Li, Harry Wechsler, Massimo Tistarelli
CSMR
2007
IEEE
14 years 3 months ago
Consistently Incorporating Changes to Evolve Transition-based Systems
Evolving software-intensive systems from one consistent state to another is a challenging activity due to the intricate inter-dependencies among the components. In this paper, we ...
Mahadevan Subramaniam, Harvey P. Siy
ICANN
2007
Springer
14 years 3 months ago
Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space
Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
Shigeo Abe, Kenta Onishi
ROBIO
2006
IEEE
129views Robotics» more  ROBIO 2006»
14 years 3 months ago
Learning Utility Surfaces for Movement Selection
— Humanoid robots are highly redundant systems with respect to the tasks they are asked to perform. This redundancy manifests itself in the number of degrees of freedom of the ro...
Matthew Howard, Michael Gienger, Christian Goerick...
WOWMOM
2006
ACM
137views Multimedia» more  WOWMOM 2006»
14 years 3 months ago
Evaluating Context Information Predictability for Autonomic Communication
Delay tolerant and mobile ad hoc networks, present considerable challenges to the development of protocols and systems. In particular, the challenge of being able to cope with the...
Mirco Musolesi, Cecilia Mascolo