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Deep Supervised Hashing for Fast Image Retrieval
TLDR
This paper proposes a novel Deep Supervised Hashing (DSH) method to learn compact similarity-preserving binary code for the huge body of image data. Expand
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Deep Supervised Hashing for Fast Image Retrieval
TLDR
In this paper, we present a new hashing method to learn compact binary codes for highly efficient image retrieval on large-scale datasets. Expand
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Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks
TLDR
We propose a new hashing method, named Dual Purpose Hashing (DPH), which jointly preserves the category and attribute similarities by exploiting the convolutional networks to hierarchically capture the correlations between category and attributes. Expand
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Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction
TLDR
We address the challenging large-scale content-based face image retrieval problem, intended as searching images based on the presence of specific subject, given one face image of him/her. Expand
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Unified and Coupled Self-Stabilizing Algorithms for Minor and Principal Eigen-pairs Extraction
TLDR
In this paper, based on a novel information criterion, we propose two self-stabilizing algorithms which are both unified and coupled. Expand
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Identification of Dipeptidyl Peptidase IV Inhibitors: Virtual Screening, Synthesis and Biological Evaluation
Inhibition of dipeptidyl peptidase IV is an important approach for the treatment of type‐2 diabetes. In this study, we reported a multistage virtual screening workflow that integrated 3DExpand
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Transmit/Receive Spatial Smoothing with Improved Effective Array Aperture for Angle and Mutual Coupling Estimation in Bistatic MIMO Radar
We proposed a transmit/receive spatial smoothing with improved effective aperture approach for angle and mutual coupling estimation in bistatic MIMO radar. Firstly, the noise in each channel isExpand
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Flaw classification in ultrasonic guided waves signal using Wavelet Transform and PNN classifier
TLDR
In this paper, a synthesized algorithm for flaw classification in ultrasonic guided waves signal is presented, in which Wavelet Transform is utilized in the process of noise suppression and envelop extraction, and the Probabilistic Neural Network (PNN) is introduced. Expand
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What is Tabby? Interpretable Model Decisions by Learning Attribute-based Classification Criteria.
TLDR
State-of-the-art classification models are usually considered as black boxes since their decision processes are implicit to humans. Expand
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Dual Purpose Hashing
TLDR
We propose a new hashing method, named Dual Purpose Hashing (DPH), which jointly preserves the category and attribute similarities by exploiting the Convolutional Neural Network (CNN) models to hierarchically capture the correlations between category and attributes. Expand
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