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» Learning the Relative Importance of Features in Image Data
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EMMCVPR
2007
Springer
15 years 10 months ago
Bottom-Up Recognition and Parsing of the Human Body
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Praveen Srinivasan, Jianbo Shi
ICIP
2006
IEEE
16 years 6 months ago
Online Video Stabilization Based on Particle Filters
Particle filters have been introduced as a powerful tool to estimate the posterior density of nonlinear systems. These filters are also capable of processing data online as requir...
Chong Chen, Dan Schonfeld, Junlan Yang, Magdi A. M...
129
Voted
VISUALIZATION
1997
IEEE
15 years 8 months ago
The motion map: efficient computation of steady flow animations
This paper presents a new approach for animating 2D steady flow fields. It is based on an original data structure called the Motion Map. The Motion Map contains not only a dense...
Bruno Jobard, Wilfrid Lefer
134
Voted
AR
2007
111views more  AR 2007»
15 years 4 months ago
Acquisition of joint attention through natural interaction utilizing motion cues
Joint attention is one of the most important cognitive functions for the emergence of communication not only between humans but also between humans and robots. In the previous wor...
Hidenobu Sumioka, Koh Hosoda, Yuichiro Yoshikawa, ...
136
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WCRE
2008
IEEE
15 years 11 months ago
A Bayesian Network Based Approach for Change Coupling Prediction
Source code coupling and change history are two important data sources for change coupling analysis. The popularity of public open source projects in recent years makes both sourc...
Yu Zhou, Michael Würsch, Emanuel Giger, Haral...