• Publications
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Analysis of positive and negative emotions in natural scene using brain activity and GIST
TLDR
This paper proposes a novel emotion understanding system based on brain activity and ''GIST'' to categorize emotions reflected by natural scenes. Expand
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Funnel-like Hexameric Assembly of the Periplasmic Adapter Protein in the Tripartite Multidrug Efflux Pump in Gram-negative Bacteria*
  • Y. Xu, M. Lee, +6 authors N. Ha
  • Biology, Medicine
  • The Journal of Biological Chemistry
  • 29 March 2011
Gram-negative bacteria expel diverse toxic chemicals through the tripartite efflux pumps spanning both the inner and outer membranes. The Escherichia coli AcrAB-TolC pump is the principal multidrugExpand
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Saliency map model with adaptive masking based on independent component analysis
TLDR
We propose a new saliency map model with an adaptive masking method that models the brain function to reduce the redundancy. Expand
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Membrane Fusion Proteins of Type I Secretion System and Tripartite Efflux Pumps Share a Binding Motif for TolC in Gram-Negative Bacteria
The Hly translocator complex of Escherichia coli catalyzes type I secretion of the toxin hemolysin A (HlyA). In this complex, HlyB is an inner membrane ABC (ATP Binding Cassette)-type transporter,Expand
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  • PDF
Human intention recognition based on eyeball movement pattern and pupil size variation
TLDR
We propose a novel approach for a human's implicit intention recognition based on the eyeball movement pattern and pupil size variation. Expand
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Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus
TLDR
In this paper, we introduce a robust lane detection method based on the combined convolutional neural network (CNN) with random sample consensus (RANSAC) algorithm. Expand
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Biologically Inspired Saliency Map Model for Bottom-up Visual Attention
TLDR
In this paper, we propose a new saliency map model to find a selective attention region in a static color image for human-like fast scene analysis. Expand
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Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net☆
TLDR
We propose a novel airway segmentation method in volumetric chest computed tomography (CT) and evaluate its performance on multiple datasets. Expand
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Incremental Knowledge Representation Based on Visual Selective Attention
TLDR
In this paper, we present a new framework that can automatically generate a relevance map from sensory data that can represent knowledge regarding objects and infer new knowledge about novel objects. Expand
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Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection
TLDR
We use a CNN for image enhancement and the detection of driving lanes on motorways using an extreme learning machine. Expand
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