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» Learning Generic Prior Models for Visual Computation
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DAC
2011
ACM
13 years 9 months ago
AENEID: a generic lithography-friendly detailed router based on post-RET data learning and hotspot detection
In the era of deep sub-wavelength lithography for nanometer VLSI designs, manufacturability and yield issues are critical and need to be addressed during the key physical design i...
Duo Ding, Jhih-Rong Gao, Kun Yuan, David Z. Pan
JMLR
2012
13 years 1 days ago
Generic Methods for Optimization-Based Modeling
“Energy” models for continuous domains can be applied to many problems, but often suffer from high computational expense in training, due to the need to repeatedly minimize t...
Justin Domke
SG
2009
Springer
15 years 4 months ago
Interactive Context-Aware Visualization for Mobile Devices
Abstract. Utilizing context information—e.g. location, user aspects, or hardware capabilities—enables the presented generic framework to automatically control the selection and...
Mike Eissele, Daniel Weiskopf, Thomas Ertl
ECCV
2004
Springer
15 years 11 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
BMCBI
2010
214views more  BMCBI 2010»
14 years 9 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper