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» Some Results on the Modelling of Spatial Data
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IJCV
2008
266views more  IJCV 2008»
13 years 9 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
PODS
2007
ACM
139views Database» more  PODS 2007»
14 years 9 months ago
Management of probabilistic data: foundations and challenges
Many applications today need to manage large data sets with uncertainties. In this paper we describe the foundations of managing data where the uncertainties are quantified as pro...
Nilesh N. Dalvi, Dan Suciu
ICML
2004
IEEE
14 years 9 months ago
Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
Zhihua Zhang, Dit-Yan Yeung, James T. Kwok
ROBIO
2006
IEEE
249views Robotics» more  ROBIO 2006»
14 years 3 months ago
Vision and Laser Data Fusion for Tracking People with a Mobile Robot
— In this paper we present a multi-sensor fusion system for tracking people with a mobile robot, which integrates the information provided by a laser range sensor and a PTZ camer...
Nicola Bellotto, Huosheng Hu
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
14 years 9 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...