13 Result(s)
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Chapter and Conference Paper
DMTP: Controlling Spam Through Message Delivery Differentiation
Unsolicited commercial email, commonly known as spam, has become a pressing problem in today’s Internet. In this paper we re-examine the architectural foundations of the current email delivery system that are ...
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Chapter and Conference Paper
A Coding Hierarchy Computing Based Clustering Algorithm
In actual databases, there are a lot of hierarchy coding data, existing clustering algorithms don’t consider the special treatment of these data structure, so lead nonideal performance and clustering result. T...
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Chapter and Conference Paper
Relaxed Two-Stage Multisplitting Algorithm for Linear Complementarity Problem
In this paper, the authors first set up relaxed two-stage algorithm for solving the linear complementarity problem, which is based on the two-stage splitting algorithm, parallel computation and the multisplitt...
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Chapter and Conference Paper
Mining Contrast Subspaces
In this paper, we tackle a novel problem of mining contrast subspaces. Given a set of multidimensional objects in two classes C + and C − and a query object o, we want to find t...
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Chapter and Conference Paper
A 3D Reconstruction Method for Gastroscopic Minimally Invasive Surgery
Minimally Invasive Surgery (MIS) has offered great benefits to the patients for reducing patient trauma and recovery time. However, traditional MIS still has some challenges due to the loss of 3D vision and th...
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Chapter and Conference Paper
Deep Variational Metric Learning
Deep metric learning has been extensively explored recently, which trains a deep neural network to produce discriminative embedding features. Most existing methods usually enforce the model to be indiscriminat...
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Chapter and Conference Paper
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results
The Vision Meets Drone Object Detection in Image Challenge (VisDrone-DET 2020) is the third annual object detector benchmarking activity. Compared with the previous VisDrone-DET 2018 and VisDrone-DET 2019 chal...
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Chapter and Conference Paper
VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results
The Vision Meets Drone (VisDrone2020) Multiple Object Tracking (MOT) is the third annual UAV MOT tracking evaluation activity organized by the VisDrone team, in conjunction with European Conference on Computer...
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Chapter and Conference Paper
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algori...
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Chapter and Conference Paper
External Knowledge-Based Weakly Supervised Learning Approach on Chinese Clinical Named Entity Recognition
Automatic extraction of clinical named entities, such as body parts, drugs and surgeries, has been of great significance to understand clinical texts. Deep neural networks approaches have achieved remarkable s...
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Chapter and Conference Paper
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity
In this paper, we propose a dual-process cognitive recommendation system for sequential recommendations. The framework includes an intuitive representation module (System 1) and an inference module (System 2)....
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Chapter and Conference Paper
Three-Dimensional Force Sensor Based on Deep Learning
Human skin can accurately sense subtle changes of both normal and shear forces. However, tactile sensors applied to robots are challenging in decoupling 3D forces due to the inability to develop adaptive model...
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Chapter and Conference Paper
BP Neural Network-Based Drug Sale Forecasting Model Design
Pharmaceutical sales are difficult to show a linear trend due to its inherent high randomness. BP neural network is applied to establish a pharmaceutical sales forecasting model to help enterprises accurately ...
