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» Learning Object Representations Using Sequential Patterns
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IJCNN
2007
IEEE
15 years 10 months ago
Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory
— In the process of learning a pattern I, the Fuzzy ARTMAP algorithm templates (i.e., the weight vectors corresponding to nodes of its category representation layer) compete for ...
José Castro, Michael Georgiopoulos, Jimmy S...
140
Voted
ICANN
2005
Springer
15 years 9 months ago
Online Learning for Object Recognition with a Hierarchical Visual Cortex Model
We present an architecture for the online learning of object representations based on a visual cortex hierarchy developed earlier. We use the output of a topographical feature hier...
Stephan Kirstein, Heiko Wersing, Edgar Körner
133
Voted
JMLR
2006
104views more  JMLR 2006»
15 years 3 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
121
Voted
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 10 months ago
Evolving controllers for simulated car racing using object oriented genetic programming
Several different controller representations are compared on a non-trivial problem in simulated car racing, with respect to learning speed and final fitness. The controller rep...
Alexandros Agapitos, Julian Togelius, Simon M. Luc...
256
Voted
TCSV
2011
14 years 10 months ago
Integrating Spatio-Temporal Context With Multiview Representation for Object Recognition in Visual Surveillance
—We present in this paper an integrated solution to rapidly recognizing dynamic objects in surveillance videos by exploring various contextual information. This solution consists...
Xiaobai Liu, Liang Lin, Shuicheng Yan, Hai Jin, We...