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» Modelling perception using image processing algorithms
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141
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ICML
2004
IEEE
16 years 4 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
ICRA
2008
IEEE
130views Robotics» more  ICRA 2008»
15 years 10 months ago
An easy calibration for oblique-viewing endoscopes
— Oblique-viewing endoscopes (oblique scopes) are widely used in minimally invasive surgery. The viewing direction of an oblique endoscope can be changed by rotating the scope cy...
Chenyu Wu, Branislav Jaramaz
146
Voted
CVBIA
2005
Springer
15 years 9 months ago
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bi...
148
Voted
ICANN
2005
Springer
15 years 9 months ago
Learning Features of Intermediate Complexity for the Recognition of Biological Motion
Humans can recognize biological motion from strongly impoverished stimuli, like point-light displays. Although the neural mechanism underlying this robust perceptual process have n...
Rodrigo Sigala, Thomas Serre, Tomaso Poggio, Marti...
150
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SIGCSE
2003
ACM
198views Education» more  SIGCSE 2003»
15 years 9 months ago
Computer graphics in undergraduate computational science education
Computer graphics forms an important part of a working scientist’s tools. This may be provided by resources with the scientist’s group or by capabilities of the toolkits that ...
Steve Cunningham, Angela B. Shiflet
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