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» Unsupervised Feature Selection Using Feature Similarity
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ICCBR
2009
Springer
15 years 7 months ago
Conceptual Neighborhoods for Retrieval in Case-Based Reasoning
Abstract. We present a case-based reasoning technique based on conceptual neighborhoods of cases. The system applies domain knowledge to the case retrieval process in the form of r...
Ben G. Weber, Michael Mateas
79
Voted
IJON
2006
76views more  IJON 2006»
15 years 14 days ago
Joint maps for orientation, eye, and direction preference in a self-organizing model of V1
Primary visual cortex (V1) contains overlaid feature maps for orientation (OR), motion direction selectivity (DR), and ocular dominance (OD). Neurons in these maps are connected l...
James A. Bednar, Risto Miikkulainen
86
Voted
ISMB
1997
15 years 1 months ago
Prediction of Enzyme Classification from Protein Sequence without the Use of Sequence Similarity
1 W’edescribe a novel approach for predicting the function of a protein from its amino-acid sequence. Given features that can be computedfrom the amino-acid sequence in a straigh...
Marie desJardins, Peter D. Karp, Markus Krummenack...
120
Voted
ICPR
2004
IEEE
16 years 1 months ago
Pruning Local Feature Correspondences Using Shape Context
We propose a novel approach to improve the distinctiveness of local image features without significantly affecting their robustness with respect to image deformations. Local image...
Allan D. Jepson, Gustavo Carneiro
110
Voted
ENGL
2007
180views more  ENGL 2007»
15 years 13 days ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar