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IJCNN
2006
IEEE
15 years 3 months ago
In-Place Learning for Positional and Scale Invariance
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
Juyang Weng, Hong Lu, Tianyu Luwang, Xiangyang Xue
CISST
2003
88views Hardware» more  CISST 2003»
14 years 11 months ago
Virtual Experts for Imagery Registration and Conflation
The unique human expertise in imagery analysis should be preserved and shared with other imagery analysts to improve image analysis and decision-making. Such knowledge can serve a...
Boris Kovalerchuk, Artemus Harper, Michael Kovaler...
BIBE
2007
IEEE
141views Bioinformatics» more  BIBE 2007»
15 years 1 months ago
Graph and Topological Structure Mining on Scientific Articles
In this paper, we investigate a new approach for literature mining. We use frequent subgraph mining, and its generalization topological structure mining, for finding interesting re...
Fan Wang, Ruoming Jin, Gagan Agrawal, Helen Piontk...
CIKM
1997
Springer
15 years 2 months ago
A Framework for the Management of Past Experiences with Time-Extended Situations
: In the context of knowledge management, we focus on the representation and the retrieval of past experiences called cases within the Case-Based Reasoning (CBR) paradigm. CBR is a...
Michel Jaczynski
JIIS
2000
120views more  JIIS 2000»
14 years 9 months ago
Machine Learning for Intelligent Processing of Printed Documents
Abstract. A paper document processing system is an information system component which transforms information on printed or handwritten documents into a computer-revisable form. In ...
Floriana Esposito, Donato Malerba, Francesca A. Li...