Sparse machine learning has recently emerged as powerful tool to obtain models of high-
dimensional data with high degree of interpretability, at low computational cost. This paper …

Sparse machine learning has recently emerged as powerful tool to obtain models of high‐
dimensional data with high degree of interpretability, at low computational cost. The …

摘要为了有效融合RGB 图像颜色信息和Depth 图像深度信息, 提出一种基于贝叶斯框架融合的
RGB-D 图像显著性检测方法. 通过分析3D 显著性在RGB 图像和Depth 图像分布的情况 …

In this paper, we propose a saliency detection model for RGB-D images based on the
contrasting features of colour and depth with a generative mixture model. The depth feature …

In this paper, we propose a saliency detection model for RGB-D images based on the
contrasting features of color and depth within a Bayesian framework. The depth feature map …

This paper proposes a novel application of a supervised topic model to do entity relation
detection (ERD). We adapt Maximum Entropy Discriminant Latent Dirichlet Allocation …

In this paper, we propose a saliency detection model for RGB-D images based on the deep
features of RGB images and depth images within a Bayesian framework. By analysing 3D …

Abstract Domain adaptation has been popularly studied on exploiting labeled information
from a source domain to learn a prediction model in a target domain. In this paper, we …

We present a system for unusual event detection in single fixed camera surveillance video.
Instead of taking a binary or multi-class supervised learning approach, we take a one-class …

Bayesian Saliency Detection for RGB-D Images E-mail Alert RSS 2.765 2022影响因子 (CJCR)
中文核心 EI 中国科技核心 Scopus CSCD 英国科学文摘 首页 期刊介绍 1.基本信息 2.收录与获奖 …