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Multi-label Zero-Shot Learning with Structured Knowledge Graphs
TLDR
We propose a novel deep learning architecture for multi-label zero-shot learning (ML-ZSL), which is able to predict multiple unseen class labels for each input instance. Expand
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Using Google Analytics for Improving Library Website Content and Design: A Case Study
TLDR
Google Analytics is a free web analytics solution that provides webmasters with insightful information about how visitors find and interact with their websites. Expand
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Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection
TLDR
We propose a convolution neural network based algorithm for simultaneously diagnosing diabetic retinopathy and highlighting suspicious regions. Expand
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The distance dependence prediction of the Janzen-Connell hypothesis: a meta-analysis
The Janzen-Connell hypothesis explains the maintenance of tropical diversity through the interacting effects of parent-centered dispersal patterns and distance- and density-dependent propaguleExpand
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A rapid learning algorithm for vehicle classification
TLDR
A fast learning algorithm is introduced for real-time vehicle classification.A fast feature selection method for AdaBoost is presented by combining a sample's feature value with its class label . Expand
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Entity Disambiguation by Knowledge and Text Jointly Embedding
TLDR
We first learn low-dimensional continuous vector representations for entities and words by jointly embedding knowledge base and text in the same vector space. Expand
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Intensity Correction of Terrestrial Laser Scanning Data by Estimating Laser Transmission Function
TLDR
We explore the near-distance and angle-of-incidence corrections for Z+F Imager5006i, a commercially available coaxial TLS, and propose a corresponding method to correct the range or distance effects on its output intensity data. Expand
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Cost-sensitive learning for defect escalation
TLDR
We develop a Software defecT Escalation Prediction (STEP) system to mine historical defect report data and predict the escalation risk of current defect reports for maximum net profit. Expand
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RPPS: A Novel Resource Prediction and Provisioning Scheme in Cloud Data Center
TLDR
In this paper, we present RPPS (Cloud Resource Prediction and Provisioning scheme), a scheme that automatically predict future demand and perform proactive resource provisioning for cloud applications. Expand
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A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks
TLDR
This paper presents a comprehensive survey on different problem models for rescheduling in railway networks by a clear classification. Expand
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