Titlebook: Intelligent Human Computer Interaction; 8th International Co Anupam Basu,Sukhendu Das,Samit Bhattacharya Conference proceedings 2017 Spring

Memorial

Towards Learning to Handle Deviations Using User Preferences in a Human Robot Collaboration Scenarioations. We propose an approach based on Interactive Reinforcement Learning that learns to handle deviations with the help of user interaction. The interactions with the user can be used to form the preferences of the user and help the robotic system to handle the deviations accordingly. Each user mi

Tractable

Position Based Visual Control of the Hovering Quadcopteroutdoor applications can use GPS for reliable localization, working indoors will require the use of either laser range finders or some other sensors. If the indoor scene is unknown to a robot, the task of mapping new areas also becomes a necessity. The two processes are combined and run together in

有組織

SG-PASS: A Safe Graphical Password Scheme to Resist Shoulder Surfing and Spyware Attacknumeric password that is easy to remember. But the password which is easy to remember is also easy to predict. In contrast, the password that is very difficult to predict or requires more computation to break is also difficult to remember. To overcome this limitation of creating secure and memorable

COLON

改變

違反

虛假

Campaign

頌揚(yáng)國(guó)家

A Comparative Study of Classifier Performance on Spatial and Temporal Features of Handwritten Behavis. The goal of this work was to compare the performance of different classifiers tested on spatio-temporal features used to distinguish between true and distorted handwriting behaviour to detect deception using machine learning experiments. Dynamic handwriting features depict a writer’s individualit

Stress