Person re-identification plays an important role in searching for a specific person camera network with non-overlapping cameras. The most critical problem is feature representation. In this paper, multi-level cross-view consistent learning framework proposed re-identification. First, local deep, LOMO and SIFT features are extracted to form features. Specifically, from the lower higher layers of...

Traditional product evaluation research is to collect data through questionnaires or interviews optimize design, but the whole process takes a long time deploy and cannot fully reflect market situation. Aiming at this problem, we propose prediction model based on multi-level deep feature fusion of online reviews. It mines satisfaction from massive reviews published by users e-commerce websites,...

opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which can play an important role in making major decisions in such area. in general, opinion mining extracts user reviews at three levels of document, sentence and feature. opinion mining at the feature level is taken into consideration more than the other two levels d...

abstract— due to the daily mass production and the widespread variation of medical x-ray images, it is necessary to classify these for searching and retrieving proposes, especially for content-based medical image retrieval systems. in this paper, a medical x-ray image hierarchical classification structure based on a novel merging and splitting scheme and using shape and texture features is prop...

Human stress is a physiological tension that appears when a person responds to mental, emotional, or physical chal-lenges. Detecting human stress and developing methods to manage it, has become an important issue nowadays. Au-tomatic stress detection through physiological signals may be a useful method for solving this problem. In most of the earlier studies, long-term time window was considere...

introduction to extract and combine information from different modalities, fusion techniques are commonly applied to promote system performance. in this study, we aimed to examine the effectiveness of fusion techniques in emotion recognition. materials and methods electrocardiogram (ecg) and galvanic skin responses (gsr) of 11 healthy female students (mean age: 22.73±1.68 years) were collected ...