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» Remarks on the Schoof-Elkies-Atkin algorithm
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AAAI
2011
12 years 9 months ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...

Presentation
945views
13 years 7 months ago
On the use of discrete Pascal transform in hiding data in images
The Discrete Pascal Transform (DPT) has been proved remarkably useful for edge detection, filter design, discrete-time signal interpolation and data hiding. In the present work a n...
CORR
2012
Springer
183views Education» more  CORR 2012»
12 years 5 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
12 years 8 days ago
Intrusion as (anti)social communication: characterization and detection
A reasonable definition of intrusion is: entering a community to which one does not belong. This suggests that in a network, intrusion attempts may be detected by looking for com...
Qi Ding, Natallia Katenka, Paul Barford, Eric D. K...
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
14 years 3 months ago
Multi-niche crowding in the development of parallel genetic simulated annealing
In this paper, a new hybrid of genetic algorithm (GA) and simulated annealing (SA), referred to as GSA, is presented. In this algorithm, SA is incorporated into GA to escape from ...
Zhi-Gang Wang, Mustafizur Rahman 0002, Yoke-San Wo...