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CVPR
2009
IEEE
17 years 1 months ago
A Multi-View Probabilistic Model for 3D Object Classes
We propose a novel probabilistic framework for learning visual models of 3D object categories by combining appearance information and geometric constraints. Objects are represen...
Fei-Fei Li 0002, Hao Su, Min Sun, Silvio Savarese
ACCV
2006
Springer
16 years 23 days ago
Object Detection Using a Cascade of 3D Models
Abstract. We present an alignment framework for object detection using a hierarchy of 3D polygonal models. One difficulty with alignment methods is that the high-dimensional transf...
Hon-Keat Pong, Tat-Jen Cham
IEEEPACT
2009
IEEE
16 years 1 months ago
Polyhedral-Model Guided Loop-Nest Auto-Vectorization
Abstract—Optimizing compilers apply numerous interdependent optimizations, leading to the notoriously difficult phase-ordering problem — that of deciding which transformations...
Konrad Trifunovic, Dorit Nuzman, Albert Cohen, Aya...
ICMLA
2004
15 years 8 months ago
Reducing complexity of rule based models via meta mining
Complexity, or in other words compactness, of models generated by rule learners is one of often neglected issues, although it has a profound effect on the success of any project t...
Lukasz A. Kurgan
JCSS
2008
81views more  JCSS 2008»
15 years 6 months ago
A simulator for adaptive parallel applications
Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. Detailed simulations can help identify...
Basile Schaeli, Sebastian Gerlach, Roger D. Hersch