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SIAMIS
2011
13 years 2 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
PODC
2011
ACM
12 years 10 months ago
From bounded to unbounded concurrency objects and back
We consider the power of objects in the unbounded concurrency shared memory model, where there is an infinite set of processes and the number of processes active concurrently may...
Yehuda Afek, Adam Morrison, Guy Wertheim
SIGIR
2012
ACM
11 years 10 months ago
Time-based calibration of effectiveness measures
Many current effectiveness measures incorporate simplifying assumptions about user behavior. These assumptions prevent the measures from reflecting aspects of the search process...
Mark D. Smucker, Charles L. A. Clarke
MOBIHOC
2006
ACM
14 years 7 months ago
Algorithmic aspects of communication in ad-hoc networks with smart antennas
Smart antennas have gained significant importance in multihop wireless networks in recent years, because of their sophisticated signal processing capabilities that hold the potent...
Karthikeyan Sundaresan, Weizhao Wang, Stephan Eide...
ISPASS
2009
IEEE
14 years 2 months ago
Analyzing CUDA workloads using a detailed GPU simulator
Modern Graphic Processing Units (GPUs) provide sufficiently flexible programming models that understanding their performance can provide insight in designing tomorrow’s manyco...
Ali Bakhoda, George L. Yuan, Wilson W. L. Fung, He...