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SAC
2006
ACM
14 years 2 months ago
Relevance feedback methods for logo and trademark image retrieval on the web
Relevance feedback is the state-of-the-art approach for adjusting query results to the needs of the users. This work extends the existing framework of image retrieval with relevan...
Euripides G. M. Petrakis, Klaydios Kontis, Epimeni...
ESANN
2007
13 years 9 months ago
An overview of reservoir computing: theory, applications and implementations
Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
Benjamin Schrauwen, David Verstraeten, Jan M. Van ...
IJCINI
2007
139views more  IJCINI 2007»
13 years 8 months ago
AURELLIO: A Cognitive Computational Knowledge Representation Theory
: Cognitive informatics (CI) studies the natural intelligence and internal information processing mechanisms of the brain, as well as the processes involved in perception and cogni...
Mehdi Najjar, André Mayers
LREC
2008
141views Education» more  LREC 2008»
13 years 9 months ago
Centering Theory for Evaluation of Coherence in Computer-Aided Summaries
This paper investigates a new evaluation method for assessing the coherence of computer-aided summaries, justified by the inappropriacy of existing evaluation methods for this tas...
Laura Hasler
CVPR
1998
IEEE
14 years 10 months ago
An Optimized Interaction Strategy for Bayesian Relevance Feedback
A new algorithm and systematic evaluation is presented for searching a database via relevance feedback. It represents a new image display strategy for the PicHunter system [2, 1]....
Ingemar J. Cox, Matthew L. Miller, Thomas P. Minka...