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TSMC
2010
14 years 4 months ago
Interaction Modeling and Prediction in Smart Spaces: A Bio-Inspired Approach Based on Autobiographical Memory
In Smart Spaces (SSs), the capability of learning from experience is fundamental for autonomous adaptation to environmental changes and for proactive interaction with users. New re...
Alessio Dore, Andrea F. Cattoni, Carlo S. Regazzon...
ECCV
2010
Springer
15 years 3 months ago
Graph Cut based Inference with Co-occurrence Statistics
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
UIST
2009
ACM
15 years 4 months ago
Detecting and leveraging finger orientation for interaction with direct-touch surfaces
Current interactions on direct-touch interactive surfaces are often modeled based on properties of the input channel that are common in traditional graphical user interfaces (GUI)...
Feng Wang, Xiang Cao, Xiangshi Ren, Pourang Irani
AIIDE
2006
14 years 11 months ago
Predicting User Physiological Response for Interactive Environments: An Inductive Approach
Affective reasoning holds great potential for interactive digital entertainment, education, and training. Incorporating affective reasoning into the decision-making capabilities o...
Scott W. McQuiggan, Sunyoung Lee, James C. Lester
ICRA
2009
IEEE
111views Robotics» more  ICRA 2009»
15 years 4 months ago
Interactive learning of the acoustic properties of household objects
— Human beings can perceive object properties such as size, weight, and material type based solely on the sounds that the objects make when an action is performed on them. In ord...
Jivko Sinapov, Mark Wiemer, Alexander Stoytchev