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» Perceptual Learning and Abstraction in Machine Learning
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CVPR
2001
IEEE
14 years 10 months ago
Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Im...
Guodong Guo, Anil K. Jain, Wei-Ying Ma, HongJiang ...
ISVC
2007
Springer
14 years 2 months ago
Fitting the World to the Mind: Transforming Images to Mimic Perceptual Adaptation
Abstract. Visual sensitivity is constantly adjusting to the current visual context through processes of adaptation. These adaptive changes strongly affect all perceptual judgments ...
Michael A. Webster, Kyle McDermott, George Bebis
FINTAL
2006
14 years 8 days ago
Paraphrase Identification on the Basis of Supervised Machine Learning Techniques
Abstract. This paper presents a machine learning approach for paraphrase identification which uses lexical and semantic similarity information. In the experimental studies, we exam...
Zornitsa Kozareva, Andrés Montoyo
ICTAI
2010
IEEE
13 years 5 months ago
Mode-Directed Tabling for Dynamic Programming, Machine Learning, and Constraint Solving
The abstract goes here.
Neng-Fa Zhou, Yoshitaka Kameya, Taisuke Sato
ICANN
2009
Springer
14 years 3 months ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...