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» Measuring and Predicting Object Importance
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ICARCV
2002
IEEE
166views Robotics» more  ICARCV 2002»
15 years 4 months ago
Similarity measure determination from NURBS-warping method
With the advances in digital imagery, large accessible data storage, internet repositories, and image applications, information conveyed through images is gaining in importance. T...
Kim Meng Liang, Mandava Rajeswari, Bee Ee Khoo
MICCAI
1998
Springer
15 years 3 months ago
Motion Measurements in Low-Contrast X-ray Imagery
Measuring motion in medical imagery becomes more and more important, in particular for object tracking, image registration, and local displacement measurements. Often, the require...
Martin Berger, Guido Gerig
RTSS
2006
IEEE
15 years 5 months ago
MCGREP - A Predictable Architecture for Embedded Real-Time Systems
Real-time systems design involves many important choices, including that of the processor. The fastest processors achieve performance by utilizing architectural features that make...
Jack Whitham, Neil C. Audsley
KDD
2004
ACM
198views Data Mining» more  KDD 2004»
15 years 4 months ago
Mining traffic data from probe-car system for travel time prediction
We are developing a technique to predict travel time of a vehicle for an objective road section, based on real time traffic data collected through a probe-car system. In the area ...
Takayuki Nakata, Jun-ichi Takeuchi
ICCV
2001
IEEE
16 years 1 months ago
3D Object Tracking Using Shape-Encoded Particle Propagation
We present a comprehensive treatment of 3D object tracking by posing it as a nonlinear state estimation problem. The measurements are derived using the outputs of shape-encoded fi...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld