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Auditory representations of acoustic signals
TLDR
An analytically tractable framework is presented to describe mechanical and neural processing in the early stages of the auditory system. Expand
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DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages
TLDR
We proposed a tensor kernel that can preserve tensor structures based upon dual-tensorial mapping, which can be used to encode prior knowledge in the kernel. Expand
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Color Image and Multispectral Image Denoising Using Block Diagonal Representation
TLDR
In this paper, we build the relationship among state-ofthe-art transforms with block diagonal representation, and investigate the proper choice of patch level transform. Expand
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Source selectable path diversity via routing deflections
TLDR
We present the design of a routing system in which end-systems set tags to select non-shortest path routes as an alternative to explicit source routes. Expand
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A Sequentially Truncated Higher Order Singular Value Decomposition-Based Algorithm for Tensor Completion
TLDR
The problem of recovering missing data of an incomplete tensor has drawn more and more attentions in the fields of pattern recognition, machine learning, data mining, computer vision, and signal processing. Expand
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Twi-Map Support Vector Machine for Multi-classification Problems
TLDR
In this paper, a novel method called Twi-Map Support Vector Machines (TMSVM) for multi-classification problems is presented. Expand
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Gabor phase based gait recognition
An effective gait recognition approach based on the gait energy image (GEI) representation is proposed. Synthetic GEIs are first created to address the problem of lacking training data. Then theExpand
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Low Frequency Oscillation Traceability and Suppression in Railway Electrification Systems
The low frequency oscillation (LFO) phenomenon has frequently occurred in railway electrification systems (RESs) and deteriorates the safety and reliability of RESs. This article proposes aExpand
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Pixel-Level Discrete Multiobjective Sampling for Image Matting
TLDR
In sampling-based matting methods, the alpha is estimated by choosing the best pair of foreground and background color samples. Expand
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