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» Assessment of Post-Stroke Functioning Using Machine Vision
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ICCV
2009
IEEE
15 years 3 months ago
Semi-Supervised Random Forests
Random Forests (RFs) have become commonplace in many computer vision applications. Their popularity is mainly driven by their high computational efficiency during both training ...
Christian Leistner, Amir Saffari, Jakob Santner, H...
ICRA
2005
IEEE
144views Robotics» more  ICRA 2005»
14 years 4 months ago
Hill-Based Model as a Myoprocessor for a Neural Controlled Powered Exoskeleton Arm - Parameters Optimization
— The exoskeleton robot, serving as an assistive device worn by the human (orthotic), functions as a humanamplifier. Setting the human machine interface (HMI) at the neuro-muscu...
Ettore Cavallaro, Jacob Rosen, Joel C. Perry, Step...
IUI
2010
ACM
14 years 5 months ago
Automatically identifying targets users interact with during real world tasks
Information about the location and size of the targets that users interact with in real world settings can enable new innovations in human performance assessment and software usab...
Amy Hurst, Scott E. Hudson, Jennifer Mankoff
AAAI
2007
14 years 21 days ago
A Text-to-Picture Synthesis System for Augmenting Communication
We present a novel Text-to-Picture system that synthesizes a picture from general, unrestricted natural language text. The process is analogous to Text-to-Speech synthesis, but wi...
Xiaojin Zhu, Andrew B. Goldberg, Mohamed Eldawy, C...
ARTMED
2007
347views more  ARTMED 2007»
13 years 10 months ago
A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sa...