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BTW
1999
Springer
157views Database» more  BTW 1999»
15 years 7 months ago
Database Primitives for Spatial Data Mining
Abstract: Spatial data mining algorithms heavily depend on the efficient processing of neighborhood relations since the neighbors of many objects have to be investigated in a singl...
Martin Ester, Stefan Grundlach, Hans-Peter Kriegel...
IJCV
1998
105views more  IJCV 1998»
15 years 2 months ago
Robust Algorithms for Object Localization
Object localization using sensed data features and corresponding model features is a fundamental problem in machine vision. We reformulate object localization as a least squares p...
Aaron S. Wallack, Dinesh Manocha
NIPS
1997
15 years 4 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
ICMLA
2010
15 years 1 months ago
Boosting Multi-Task Weak Learners with Applications to Textual and Social Data
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...
QSIC
2006
IEEE
15 years 9 months ago
Static Slicing for Pervasive Programs
Pervasive programs should be context-aware, which means that program functions should react according to changing environmental conditions. Slicing, as an important class of code ...
Heng Lu, W. K. Chan, T. H. Tse