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ICWE
2007
Springer
16 years 26 days ago
Using Object Variants to Support Context-Aware Interactions
We discuss the need to extend general models and systems for context-awareness to include adaptation of interactions to context. Our approach was motivated by our experiences of de...
Michael Grossniklaus, Moira C. Norrie
CVPR
2010
IEEE
16 years 10 days ago
Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
Pradeep Natarajan, Vivek Singh, Ram Nevatia
CCS
2007
ACM
16 years 27 days ago
Keystroke statistical learning model for web authentication
Keystroke typing characteristics is considered as one of the important biometric features that can be used to protect users against malicious attacks. In this paper we propose a s...
Cheng-Huang Jiang, Shiuhpyng Shieh, Jen-Chien Liu
ICANN
2007
Springer
16 years 26 days ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...
DAGSTUHL
2004
15 years 8 months ago
Learning with Local Models
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
Stefan Rüping