ID 原文 译文
22155 然后，基于组稀疏正则化构造关于后件参数的组稀疏优化问题，在优化问题求解的同时得到重要的模糊规则。 Then, a group sparse optimization problem based on the group sparse regularization is formulated to obtain the optimal consequent parameters. In this way, the major fuzzy rules are selected by utilizing the group information that existing in the T-S fuzzy systems.
22156 实验结果表明，在保证模型泛化性能的前提下，该方法不仅能对所获得的模糊规则结构进行精简还可以进一步减少模糊规则数，进而解决高维数据环境下模糊规则可解释性差的问题。 The experimental results show that the proposed method can not only simplify the rule's structure, but also reduce the number of fuzzy rules under the premise of good generalization performance, so as to solve the poor interpretation problem of fuzzy rules on high dimensional data effectively.
22157 电子商务网站中的评论数据隐含着商品特征和用户情感，现有基于方面情感分析的推荐研究大多通过抽取同一类别商品评论数据中用户对商品不同方面的情感来捕捉用户方面偏好，忽略了不同类别商品有不同方面以及用户的方面偏好随时间变化的特点。 Review data in e-commerce websites implicates items' features and users' sentiment. Most existing recommendation researches based on aspect-level sentiment analysis capture users' aspect preference for items by extracting users' sentiment towards different aspects of items in the review data of a same category, ignoring that different category items have different aspects and that users' aspect preference varies by time.
22158 对此，该文提出一种面向时序感知的多类别商品方面情感分析推荐模型，该模型对用户、商品类别、商品、商品方面、方面情感和时间统一建模，以发现用户对不同类别商品的方面偏好随时间变化的特点，并据此做出推荐。 A temporal-aware multi-category products recommendation model is proposed based on aspect-level sentiment analysis, which jointly models user, category, item, aspect, aspect-sentiment and time in order to find how users' aspect preferences vary by time on different category items.
22159 该模型能够推断用户在任意时间对商品的方面偏好，从而为用户提供可解释的推荐。 This model is able to infer users' aspect preferences for items at any time, which can provide users with explainable recommendations.
22160 两个真实数据集的实验结果表明，与其它基于时间或方面情感分析的推荐模型相比，该文提出的模型在 top-N 推荐准确率和召回率评价指标上均获得显著改善。 Experiment results on two real-world data sets show that, in comparison to other recommendation models based on time or aspect-level sentiment analysis, the proposed model achieves significant improvement in the precision and recall for the top-N recommendation.
22161 夜间有雾图像光照不均匀，整体亮度较低，色偏严重，且人工光源周围存在光晕。 The non-uniform illumination, low brightness, serious color deviation and halo effects around artificial light sources lead to the difficulty in haze removal for night-time image.
22162 现有的去雾模型和算法大多针对白天图像，其并不适用于夜间场景，夜间图像去雾颇具挑战性。 The existing dehazing methods are mostly designed for daytime image and not applicable to nighttime image.
22163 该文深入分析夜间有雾图像的成像规律，建立含有人工光源的夜间雾天图像成像新模型，并在此基础上提出夜间图像去雾新算法。 This paper focuses on researching nighttime image dehazing. A new nighttime haze model that accounts for the artificial varying light sources is introduced. Based on this new model, a new dehazing framework is proposed.
22164 针对夜间图像光照不均问题，提出基于低通滤波的环境光估计方法，利用估计出的环境光可准确预测夜间场景传输率； Firstly, the atmospheric light is estimated based on the low pass filter method. This atmospheric light map can be used to predict the transmission of night scene accurately.