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CGF
2008
129views more  CGF 2008»
13 years 8 months ago
Caustic Forecasting: Unbiased Estimation of Caustic Lighting for Global Illumination
We present an unbiased method for generating caustic lighting using importance sampled Path Tracing with Caustic Forecasting. Our technique is part of a straightforward rendering ...
B. C. Budge, John C. Anderson, Kenneth I. Joy
TOG
2012
280views Communications» more  TOG 2012»
11 years 10 months ago
What makes Paris look like Paris?
Given a large repository of geotagged imagery, we seek to automatically find visual elements, e.g. windows, balconies, and street signs, that are most distinctive for a certain g...
Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef ...
SIGMOD
2010
ACM
277views Database» more  SIGMOD 2010»
14 years 23 days ago
A comparison of join algorithms for log processing in MaPreduce
The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-st...
Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Ju...
BMCBI
2008
141views more  BMCBI 2008»
13 years 8 months ago
The development of PIPA: an integrated and automated pipeline for genome-wide protein function annotation
Background: Automated protein function prediction methods are needed to keep pace with high-throughput sequencing. With the existence of many programs and databases for inferring ...
Chenggang Yu, Nela Zavaljevski, Valmik Desai, Seth...
DAGSTUHL
2009
13 years 9 months ago
Learning Highly Structured Manifolds: Harnessing the Power of SOMs
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Erzsébet Merényi, Kadim Tasdemir, Li...