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ICDE
2011
IEEE
338views Database» more  ICDE 2011»
12 years 11 months ago
Outlier detection on uncertain data: Objects, instances, and inferences
—This paper studies the problem of outlier detection on uncertain data. We start with a comprehensive model considering both uncertain objects and their instances. An uncertain o...
Bin Jiang, Jian Pei
SBIA
2004
Springer
14 years 1 months ago
Learning with Drift Detection
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Pedro Medas, Gladys Castillo, Pe...
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 8 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
ICML
2006
IEEE
14 years 8 months ago
Locally adaptive classification piloted by uncertainty
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwo...
ICRA
2007
IEEE
148views Robotics» more  ICRA 2007»
14 years 2 months ago
Dynamic Obstacle Avoidance in uncertain environment combining PVOs and Occupancy Grid
— Most of present work for autonomous navigation in dynamic environment doesn’t take into account the dynamics of the obstacles or the limits of the perception system. To face ...
Chiara Fulgenzi, Anne Spalanzani, Christian Laugie...