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» Classifying Problems into Complexity Classes
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86
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COCO
1998
Springer
98views Algorithms» more  COCO 1998»
15 years 4 months ago
Probabilistic Martingales and BPTIME Classes
We define probabilistic martingales based on randomized approximation schemes, and show that the resulting notion of probabilistic measure has several desirable robustness propert...
Kenneth W. Regan, D. Sivakumar
PAMI
2007
187views more  PAMI 2007»
15 years 2 days ago
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
—A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as...
Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno,...
ICRA
2006
IEEE
99views Robotics» more  ICRA 2006»
15 years 6 months ago
MRSAM: a Quadratically Competitive Multi-robot Online Navigation Algorithm
— We explore an online problem where a group of robots has to find a target whose position is unknown in an unknown planar environment whose geometry is acquired by the robots d...
Shahar Sarid, Amir Shapiro, Yoav Gabriely
SIAMNUM
2010
178views more  SIAMNUM 2010»
14 years 7 months ago
A New Class of High Order Finite Volume Methods for Second Order Elliptic Equations
In the numerical simulation of many practical problems in physics and engineering, finite volume methods are an important and popular class of discretization methods due to the loc...
Long Chen
118
Voted
AMT
2006
Springer
147views Multimedia» more  AMT 2006»
15 years 4 months ago
Semi-Supervised Text Classification Using Positive and Unlabeled Data
Text classification using positive and unlabeled data refers to the problem of building text classifier using positive documents (P) of one class and unlabeled documents (U) of man...
Shuang Yu, Xueyuan Zhou, Chunping Li