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» Learning Object Representations Using Sequential Patterns
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ML
2006
ACM
110views Machine Learning» more  ML 2006»
13 years 7 months ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez
FLAIRS
2010
13 years 10 months ago
Handling of Numeric Ranges for Graph-Based Knowledge Discovery
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
Oscar E. Romero, Jesus A. Gonzalez, Lawrence B. Ho...
VIS
2009
IEEE
215views Visualization» more  VIS 2009»
14 years 8 months ago
Iconizer: A Framework to Identify and Create Effective Representations for Visual Information Encoding
concept form search query vision confirm consensus refine search query graphics VIE-designer image objects image objects Visual Sign (VIE) run search query words images Iconizer:...
Supriya Garg, Tamara Berg, Klaus Mueller
ECML
2001
Springer
14 years 4 days ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
BMVC
1998
13 years 9 months ago
Learning Enhanced 3D Models for Vehicle Tracking
This paper presents an enhanced hypothesis verification strategy for 3D object recognition. A new learning methodology is presented which integrates the traditional dichotomic obj...
James M. Ferryman, Anthony D. Worrall, Stephen J. ...