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ICCV
1999
IEEE
15 years 10 months ago
Learning Low-Level Vision
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...
William T. Freeman, Egon C. Pasztor
BMCBI
2010
126views more  BMCBI 2010»
15 years 3 months ago
PETALS: Proteomic Evaluation and Topological Analysis of a mutated Locus' Signaling
Background: Colon cancer is driven by mutations in a number of genes, the most notorious of which is Apc. Though much of Apc's signaling has been mechanistically identified o...
Gürkan Bebek, Vishal Patel, Mark R. Chance
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
15 years 7 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
GI
2009
Springer
15 years 10 months ago
Massively-Parallel Simulation of Biochemical Systems
: Understanding biological evolution prompts for a detailed understanding of the realized phenotype. Biochemical and gene regulatory dynamics are a cornerstone for the physiology o...
Jens Ackermann, Paul Baecher, Thorsten Franzel, Mi...
NAR
2011
176views Computer Vision» more  NAR 2011»
14 years 8 months ago
IUPHAR-DB: new receptors and tools for easy searching and visualization of pharmacological data
The IUPHAR database is an established online reference resource for several important classes of human drug targets and related proteins. As well as providing recommended nomencla...
Joanna L. Sharman, Chidochangu P. Mpamhanga, Micha...