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» Image Based Regression Using Boosting Method
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133
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SIGGRAPH
1991
ACM
15 years 6 months ago
Artificial evolution for computer graphics
CT This paper describes how evolutionary techniques of variation and selection can be used to create complex simulated structures, textures, and motions for use in computer graphic...
Karl Sims
130
Voted
IEEEPACT
2009
IEEE
15 years 8 days ago
Algorithmic Skeletons within an Embedded Domain Specific Language for the CELL Processor
Efficiently using the hardware capabilities of the Cell processor, a heterogeneous chip multiprocessor that uses several levels of parallelism to deliver high performance, and bei...
Tarik Saidani, Joel Falcou, Claude Tadonki, Lionel...
126
Voted
ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
16 years 7 months ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...
137
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
JPDC
2008
138views more  JPDC 2008»
15 years 2 months ago
Efficient parallel implementation of iterative reconstruction algorithms for electron tomography
Electron tomography (ET) combines electron microscopy and the principles of tomographic imaging in order to reconstruct the threedimensional structure of complex biological specim...
José-Jesús Fernández, Dan Gor...