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» Revisiting Negative Selection Algorithms
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ICVS
2009
Springer
14 years 2 months ago
White-Box Evaluation of Computer Vision Algorithms through Explicit Decision-Making
Traditionally computer vision and pattern recognition algorithms are evaluated by measuring differences between final interpretations and ground truth. These black-box evaluations ...
Richard Zanibbi, Dorothea Blostein, James R. Cordy
ALGORITHMICA
2010
156views more  ALGORITHMICA 2010»
13 years 7 months ago
On Covering Problems of Rado
T. Rado conjectured in 1928 that if S is a finite set of axis-parallel squares in the plane, then there exists an independent subset I S of pairwise disjoint squares, such that I ...
Sergey Bereg, Adrian Dumitrescu, Minghui Jiang
FLAIRS
2004
13 years 9 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
NIPS
2007
13 years 9 months ago
Multiple-Instance Active Learning
We present a framework for active learning in the multiple-instance (MI) setting. In an MI learning problem, instances are naturally organized into bags and it is the bags, instea...
Burr Settles, Mark Craven, Soumya Ray
JCB
2002
108views more  JCB 2002»
13 years 7 months ago
Fast and Accurate Phylogeny Reconstruction Algorithms Based on the Minimum-Evolution Principle
This paper investigates the standard ordinary least-squares version 24 and the balanced version 20 of the minimum evolution principle. For the standard version, we provide a greedy...
Richard Desper, Olivier Gascuel