Mturk用户在图像数据集上感知的聚类

Shan-Hung Wu Associate Professor, CS, National Tsing Hua University(NTHU) Email: shwu [AT] cs.nthu.edu.tw Data Set Information: 该数据集由台湾省国立清华大学的吴珊红和数据实验室成员收集。它从全国大学的图像数据库中随机抽取了180幅图像。每幅图像有500个特征，由基于SIFT描述的单词组成。在Amazon Mechanical Turk平台上进行了一系列实验，共有325个用户感知集群，来自100个用户及其相应的描述。 Dataset spec 1: - #Image: 180 - #Cluster: 325 (may be created by different users) - #User: 100 - |Vocabulary of supervision|: 108 - cluster_data.csv : 325 clusters x 180 images - 'cluster_data.csv' is an indicator matrix. M_(i,j) = 1 if image_j belongs to cluster_i. Note: Clusters may be created by different users. - cluster_userIndex.csv : 325 clusters x 1 userIndex(0-99) - 'cluster_userIndex.csv' is an vector where V_i = k if cluster_i is grouped by user_k. - data_feature.csv : 180 images x 500 features - Each row is 500 features vector consisting of the bag of words based on SIFT descriptions. All 180 images are sampled from NUS-WIDE dataset. - Reference: [Web link] - supervision_cluster_matrix.csv : 108 bag of words x 183 clusters - We parse the raw supervisions and merge similar words into 108 dimensions. Each row is a description of corresponding cluster. - perception_words.csv : 108 perception words - Vocabulary of perception words . Dataset spec 2(Raw data): - cluster_list.csv: -FileName: ['UserId'], ['ImageId Cluster'], ['Description'] -['UserId']: Specify the user who created the cluster. -['ImageId Cluster']: Image ids in the cluster which are separated by ';'. -['Description']: A sentence or some keywords describe the images in the cluster by user. - 325 records(clusters) in total. Attribute Information: As the above. Relevant Papers: Learning User Perceived Clusters with Feature-Level Supervision Ting-Yu Cheng, ; Kuan-Hua Lin, ; Xinyang Gong, Baidu Inc.; Kang-Jun Liu, ; Shan-Hung Wu*, National Tsing Hua University Citation Request: Please include this citation if you use this dataset. Learning User Perceived Clusters with Feature-Level Supervision Ting-Yu Cheng, ; Kuan-Hua Lin, ; Xinyang Gong, Baidu Inc.; Kang-Jun Liu, ; Shan-Hung Wu*, National Tsing Hua University