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» Computation with imprecise probabilities
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ICS
2011
Tsinghua U.
14 years 10 months ago
High performance linpack benchmark: a fault tolerant implementation without checkpointing
The probability that a failure will occur before the end of the computation increases as the number of processors used in a high performance computing application increases. For l...
Teresa Davies, Christer Karlsson, Hui Liu, Chong D...
ECCV
2008
Springer
17 years 5 months ago
Detecting Carried Objects in Short Video Sequences
We propose a new method for detecting objects such as bags carried by pedestrians depicted in short video sequences. In common with earlier work on the same problem, the method sta...
Dima Damen, David Hogg
295
Voted

Book
545views
17 years 2 months ago
Artificial Intelligence: A Modern Approach
"Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continu...
Stuart Russell and Peter Norvig
229
Voted
CVPR
2009
IEEE
1695views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Geometric min-Hashing: Finding a (Thick) Needle in a Haystack
We propose a novel hashing scheme for image retrieval, clustering and automatic object discovery. Unlike commonly used bag-of-words approaches, the spatial extent of image featu...
Ondrej Chum (Czech Technical University), Michal P...
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer