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» Optimizing Complex Loss Functions in Structured Prediction
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ICDM
2009
IEEE
125views Data Mining» more  ICDM 2009»
14 years 3 months ago
A Fully Automated Method for Discovering Community Structures in High Dimensional Data
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
Jianhua Ruan
NIPS
2008
13 years 10 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
TCSV
2010
13 years 3 months ago
Quad-Tree Motion Modeling With Leaf Merging
In this paper, we are concerned with the modeling of motion between frames of a video sequence. Typically, it is not possible to represent the motion between frames by a single mod...
Reji Mathew, David S. Taubman
DAC
1999
ACM
14 years 1 months ago
Common-Case Computation: A High-Level Technique for Power and Performance Optimization
This paper presents a design methodology, called common-case computation (CCC), and new design automation algorithms for optimizing power consumption or performance. The proposed ...
Ganesh Lakshminarayana, Anand Raghunathan, Kamal S...
BMCBI
2004
190views more  BMCBI 2004»
13 years 9 months ago
RAG: RNA-As-Graphs web resource
Background: The proliferation of structural and functional studies of RNA has revealed an increasing range of RNA's structural repertoire. Toward the objective of systematic ...
Daniela Fera, Namhee Kim, Nahum Shiffeldrim, Julie...