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SIAMIS
2011
14 years 6 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
RSFDGRC
2005
Springer
192views Data Mining» more  RSFDGRC 2005»
15 years 5 months ago
An Open Source Microarray Data Analysis System with GUI: Quintet
We address Quintet, an R-based unified cDNA microarray data analysis system with GUI. Five principal categories of microarray data analysis have been coherently integrated in Quin...
Jun-kyoung Choe, Tae-Hoon Chung, Sunyong Park, Hwa...
ICML
2009
IEEE
16 years 17 days ago
Detecting the direction of causal time series
We propose a method that detects the true direction of time series, by fitting an autoregressive moving average model to the data. Whenever the noise is independent of the previou...
Arthur Gretton, Bernhard Schölkopf, Dominik J...
CHI
2008
ACM
16 years 4 days ago
Crowdsourcing user studies with Mechanical Turk
User studies are important for many aspects of the design process and involve techniques ranging from informal surveys to rigorous laboratory studies. However, the costs involved ...
Aniket Kittur, Ed H. Chi, Bongwon Suh
ISBI
2009
IEEE
15 years 6 months ago
Tunable Tensor Voting for Regularizing Punctate Patterns of Membrane-Bound Protein Signals
Membrane-bound protein, expressed in the basal-lateral region, is heterogeneous and an important endpoint for understanding biological processes. At the optical resolution, membra...
Leandro A. Loss, George Bebis, Bahram Parvin