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» Trading convexity for scalability
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JMLR
2010
119views more  JMLR 2010»
13 years 2 months ago
Semi-Supervised Learning via Generalized Maximum Entropy
Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...
Ayse Erkan, Yasemin Altun
IROS
2009
IEEE
185views Robotics» more  IROS 2009»
14 years 2 months ago
Scalable and convergent multi-robot passive and active sensing
— A major barrier preventing the wide employment of mobile networks of robots in tasks such as exploration, mapping, surveillance, and environmental monitoring is the lack of efï...
Elias B. Kosmatopoulos, Lefteris Doitsidis, Konsta...
FPGA
2010
ACM
359views FPGA» more  FPGA 2010»
14 years 4 months ago
Towards scalable placement for FPGAs
Placement based on simulated annealing is in dominant use in the FPGA community due to its superior quality of result (QoR). However, given the progression of FPGA device capacity...
Huimin Bian, Andrew C. Ling, Alexander Choong, Jia...
ICML
2007
IEEE
14 years 8 months ago
Sparse eigen methods by D.C. programming
Eigenvalue problems are rampant in machine learning and statistics and appear in the context of classification, dimensionality reduction, etc. In this paper, we consider a cardina...
Bharath K. Sriperumbudur, David A. Torres, Gert R....
HIS
2008
13 years 9 months ago
Improving the Performance of Partitioning Methods for Crowd Simulations
Simulating the realistic behavior of large crowds of autonomous agents is still a challenge for the computer graphics community. In order to handle large crowds, some scalable arc...
Guillermo Vigueras, Miguel Lozano, Juan Manuel Ord...