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A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax Layer
Generative models offer advantageous characteristics for classification tasks, such as the availability of unsupervised data and …
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Compressive Acquisition of Light Field Video Using Aperture-Exposure-Coded Camera
We propose a method for compressively acquiring a light field video using a single camera equipped with an optical aperture-exposure …
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Deep Bayesian Active Learning-to-Rank with Relative Annotation for Estimation of Ulcerative Colitis Severity
Automatic image-based severity estimation is an important task in computer-aided diagnosis. Severity estimation by deep learning …
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Multi-modal humor segment prediction in video
Humor can be induced by various signals in the visual, linguistic, and vocal modalities emitted by humans. Finding humor in videos is …
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Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory
Estimating the surgery length has the potential to be utilized as skill assessment, surgical training, or efficient surgical facility …
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Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist’s diagnostic process of arteriolosclerosis
The morphological feature of retinal arterio-venous crossing patterns is a valuable source of cardiovascular risk stratification as it …
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Automatic evaluation of atlantoaxial subluxation in rheumatoid arthritis by a deep learning model
This work aims to develop a deep learning model, assessing atlantoaxial subluxation (AAS) in rheumatoid arthritis (RA), which can often …
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Cross-language font style transfer
In this paper, we propose a cross-language font style transfer system that can synthesize a new font by observing only a few samples …
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Deep Sensing for Compressive Video Acquisition
A camera captures multidimensional information of the real world by convolving it into two dimensions using a sensing matrix. The …
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Depth Quality Improvement with a 607 MHz Time-Compressive Computational Pseudo-dToF CMOS Image Sensor
In this paper, we present a prototype pseudo-direct time-of-flight (ToF) CMOS image sensor, achieving high distance accuracy, …
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