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Found 9 papers, 1 papers with code
An Efficient Method for Sample Adversarial Perturbations against Nonlinear Support Vector Machines
By exploring the special property of nonlinear SVMs, we transform the optimization problem of attacking nonlinear SVMs into a nonlinear KKT system.
SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard Example Focusing
Existing methods with simple Euclidean distance algorithm indiscriminately optimize the hard and easy examples so that the densities of hard examples are usually incorrectly predicted to be lower or even zero, which results in large counting errors.
Crowd counting with crowd attention convolutional neural network
Crowd counting is a challenging problem due to the scene complexity and scale variation.
Optimization Models and Interpretations for Three Types of Adversarial Perturbations against Support Vector Machines
In this paper, we investigate the optimization models and the interpretations for three types of adversarial perturbations against support vector machines, including sample-adversarial perturbations (sAP), class-universal adversarial perturbations (cuAP) as well as universal adversarial perturbations (uAP).
Pricing Exchange Option Based on Copulas by MCMC Algorithm
This paper focus on pricing exchange option based on copulas by MCMC algorithm.
Default Distances Based on the CEV-KMV Model
This paper presents a new method to assess default risk based on applying the CEV process to the KMV model.
Volatility of S&P500: Estimation and Evaluation
The rolling estimation window is recommended when using the historical volatility.
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
We rethink a well-know bottom-up approach for multi-person pose estimation and propose an improved one.
Ranked #9 on
Keypoint Detection
on COCO test-dev
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network
Recently, the Network Representation Learning (NRL) techniques, which represent graph structure via low-dimension vectors to support social-oriented application, have attracted wide attention.
