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» Type-II Optimal Polynomial Bases
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ECML
2003
Springer
14 years 1 months ago
Robust k-DNF Learning via Inductive Belief Merging
A central issue in logical concept induction is the prospect of inconsistency. This problem may arise due to noise in the training data, or because the target concept does not fit...
Frédéric Koriche, Joël Quinquet...
EMMCVPR
2001
Springer
14 years 1 months ago
An Experimental Comparison of Min-cut/Max-flow Algorithms for Energy Minimization in Vision
After [15, 31, 19, 8, 25, 5] minimum cut/maximum flow algorithms on graphs emerged as an increasingly useful tool for exact or approximate energy minimization in low-level vision...
Yuri Boykov, Vladimir Kolmogorov
RTSS
2000
IEEE
14 years 1 months ago
Enhanced Fixed-Priority Scheduling with (m, k)-Firm Guarantee
In this paper, we study the problem of scheduling task sets with (m,k) constraints. In our approach, jobs of each task are partitioned into two sets: mandatory and optional. Manda...
Gang Quan, Xiaobo Sharon Hu
ESOP
1999
Springer
14 years 1 months ago
Dynamic Programming via Static Incrementalization
Abstract. Dynamicprogramming is an importantalgorithm design technique. It is used for solving problems whose solutions involve recursively solving subproblems that share subsubpro...
Yanhong A. Liu, Scott D. Stoller
CDC
2009
IEEE
158views Control Systems» more  CDC 2009»
14 years 21 days ago
Multiple target detection using Bayesian learning
In this paper, we study multiple target detection using Bayesian learning. The main aim of the paper is to present a computationally efficient way to compute the belief map update ...
Sujit Nair, Konda Reddy Chevva, Houman Owhadi, Jer...