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JMLR
2008
230views more  JMLR 2008»
15 years 4 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
KDD
2009
ACM
219views Data Mining» more  KDD 2009»
16 years 5 months ago
Structured correspondence topic models for mining captioned figures in biological literature
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert ...
JCIT
2007
99views more  JCIT 2007»
15 years 4 months ago
Design of Virtual Memory Compression System for the Embedded System
The embedded system has less fast CPU and lower memory than PC(Personal Computer) or Workstation system. Therefore, the embedded operating system is designed to efficiently use th...
Seung-Ju Jang
CVPR
2009
IEEE
16 years 11 months ago
A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis
The computer aided diagnosis (CAD) problems of detecting potentially diseased structures from medical images are typically distinguished by the following challenging characterist...
Dijia Wu (Rensselaer Polytechnic Institute), Jinbo...
140
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TIT
2010
115views Education» more  TIT 2010»
14 years 11 months ago
On resource allocation in fading multiple-access channels-an efficient approximate projection approach
We consider the problem of rate and power allocation in a multiple-access channel. Our objective is to obtain rate and power allocation policies that maximize a general concave ut...
Ali ParandehGheibi, Atilla Eryilmaz, Asuman E. Ozd...