Results 21 to 30 of about 57,862 (263)
Multiple feature-enhanced SAR imaging using sparsity in combined dictionaries [PDF]
, 2013 Nonquadratic regularization-based image formation is a recently proposed framework for feature-enhanced radar imaging. Specific image formation techniques in this framework have so far focused on enhancing one type of feature, such as strong point ...
Çetin, Müjdat +2 more
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Face Imagery Is Based on Featural Representations [PDF]
Experimental Psychology, 2008 Abstract. The effect of imagery on featural and configural face processing was investigated using blurred and scrambled faces. By means of blurring, featural information is reduced; by scrambling a face into its constituent parts configural information is lost. Twenty-four participants learned ten faces together with the sound of a name.
Lobmaier, Janek S., Mast, Fred W.
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Remote Sensing, 2016 Automatic post-disaster mapping of building damage using remote sensing images is an important and time-critical element of disaster management. The characteristics of remote sensing images available immediately after the disaster are not certain, since ...
Anand Vetrivel +3 more
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Neural representation of feature synergy
NeuroImage, 2011 Interactive non-linear cooperation of different feature dimensions, feature synergy, has been studied in psychophysics, but the neural mechanism is unknown. The present study investigated the neural representation of feature synergy of two second-order visual features by combining electroencephalography (EEG) with the signal detection theory (SDT). Two
Tetsuo Kida +3 more
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CONCEPT REPRESENTATION WITH OVERLAPPING FEATURE INTERVALS [PDF]
Cybernetics and Systems, 1998 This article presents a new form of exemplar-based learning method, based on overlapping feature intervals. In this model, a concept is represented by a collection of overlappling intervals for each feature and class. Classification with Overlapping Feature Intervals COFI is a particular implementation of this technique. In this incremental, inductive,
H. Altay Güvenir, Hakime G. Koc
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Efficient storage and decoding of SURF feature points [PDF]
, 2012 Practical use of SURF feature points in large-scale indexing and retrieval engines requires an efficient means for storing and decoding these features.
McGuinness, Kevin +9 more
core +1 more source
Predicting Parkinson's Disease Genes Based on Node2vec and Autoencoder
Frontiers in Genetics, 2019 Identifying genes associated with Parkinson's disease plays an extremely important role in the diagnosis and treatment of Parkinson's disease. In recent years, based on the guilt-by-association hypothesis, many methods have been proposed to predict ...
Jiajie Peng, Jiaojiao Guan, Xuequn Shang
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Feature Incay for Representation Regularization
CoRR, 2017 Softmax loss is widely used in deep neural networks for multi-class classification, where each class is represented by a weight vector, a sample is represented as a feature vector, and the feature vector has the largest projection on the weight vector of the correct category when the model correctly classifies a sample. To ensure generalization, weight
Yuhui Yuan +2 more
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IEEE Access, 2021 Machine learning has been widely applied in the fields of biomedicine, computational biology, bioinformatics, image processing, and so on. The performance of machine learning methods mainly relies on feature representation that is the mapping from ...
Feifei Cui +5 more
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Neuroevolutionary Feature Representations for Causal Inference
, 2022 Within the field of causal inference, we consider the problem of estimating heterogeneous treatment effects from data. We propose and validate a novel approach for learning feature representations to aid the estimation of the conditional average treatment effect or cate. Our method focuses on an intermediate layer in a neural network trained to predict
Michael C. Burkhart, Gabriel Ruiz
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