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TNN
1998
254views more  TNN 1998»
15 years 3 months ago
Comparative analysis of fuzzy ART and ART-2A network clustering performance
—Adaptive resonance theory (ART) describes a family of self-organizing neural networks, capable of clustering arbitrary sequences of input patterns into stable recognition codes....
T. Frank, Karl-Friedrich Kraiss, Torsten Kuhlen
MUM
2005
ACM
164views Multimedia» more  MUM 2005»
15 years 9 months ago
PhoneGuide: museum guidance supported by on-device object recognition on mobile phones
We present PhoneGuide – an enhanced museum guidance approach that uses camera-equipped mobile phones and on-device object recognition. Our main technical achievement is a simple...
Paul Föckler, Thomas Zeidler, Benjamin Bromba...
174
Voted
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
15 years 8 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
147
Voted
AAAI
1993
15 years 4 months ago
Learning Object Models from Appearance
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
Hiroshi Murase, Shree K. Nayar
155
Voted
ICTAI
2008
IEEE
15 years 9 months ago
Information Extraction as an Ontology Population Task and Its Application to Genic Interactions
Ontologies are a well-motivated formal representation to model knowledge needed to extract and encode data from text. Yet, their tight integration with Information Extraction (IE)...
Alain-Pierre Manine, Érick Alphonse, Philip...