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NIPS
1994
14 years 11 months ago
Interference in Learning Internal Models of Inverse Dynamics in Humans
Experiments were performed to reveal some of the computational properties of the human motor memory system. We show that as humans practice reaching movements while interacting wi...
Reza Shadmehr, Tom Brashers-Krug, Ferdinando A. Mu...
ICAPR
2005
Springer
15 years 3 months ago
3D Action Modeling and Reconstruction for 2D Human Body Tracking
In this paper we present a technique for predicting the 2D human body joints and limbs position in monocular image sequences, and reconstructing its corresponding 3D postures using...
Ignasi Rius, Daniel Rowe, Jordi Gonzàlez, F...
ICPR
2002
IEEE
15 years 10 months ago
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
Michael E. Farmer, Rein-Lien Hsu, Anil K. Jain
GIS
2008
ACM
15 years 10 months ago
Pedestrian flow prediction in extensive road networks using biased observational data
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
Michael May, Simon Scheider, Roberto Rösler, ...
COLING
2010
14 years 4 months ago
Learning to Predict Readability using Diverse Linguistic Features
In this paper we consider the problem of building a system to predict readability of natural-language documents. Our system is trained using diverse features based on syntax and l...
Rohit J. Kate, Xiaoqiang Luo, Siddharth Patwardhan...