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» Improved Algorithms for the Feedback Vertex Set Problems
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ECCV
2008
Springer
16 years 6 months ago
SERBoost: Semi-supervised Boosting with Expectation Regularization
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
Amir Saffari, Helmut Grabner, Horst Bischof
EOR
2002
99views more  EOR 2002»
15 years 4 months ago
Network cost minimization using threshold-based discounting
We present a genetic algorithm for heuristically solving a cost minimization problem applied to communication networks with threshold based discounting. The network model assumes t...
Hrvoje Podnar, Jadranka Skorin-Kapov, Darko Skorin...
VLSISP
2011
358views Database» more  VLSISP 2011»
14 years 11 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
ICCD
2005
IEEE
165views Hardware» more  ICCD 2005»
16 years 1 months ago
Counter-Based Cache Replacement Algorithms
Recent studies have shown that in highly associative caches, the performance gap between the Least Recently Used (LRU) and the theoretical optimal replacement algorithms is large,...
Mazen Kharbutli, Yan Solihin
CORR
2010
Springer
130views Education» more  CORR 2010»
15 years 1 months ago
Oblivious Buy-at-Bulk in Planar Graphs
In the oblivious buy-at-bulk network design problem in a graph, the task is to compute a fixed set of paths for every pair of source-destination in the graph, such that any set of ...
Srinivasagopalan Srivathsan, Costas Busch, S. Sith...