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This paper attacks the challenging problem of cross-media retrieval. That is, given an image find the text best describing its content, or the other way around. Different from existing works, which either rely on a joint space, or a text space, we propose to perform cross-media retrieval in a visual space only. We contribute Word2VisualVec, a deep neural(More)
The expression status of CD74 in breast cancer stem cells and its clinical implications was evaluated in order to lay a foundation for managing breast cancer. Five hundred and eighty breast cancer specimens were enrolled in the study. The relationship between the CD74 protein and clinicopathological parameters as well as prognosis was subsequently(More)
  • Jianfeng Dong
  • 2010
Network security situation evaluation and prediction is a new technology to monitor network security, and it is one of hot research domains in information security. The research situation of network security situation evaluation and prediction all over the world is analyzed. A network security situation evaluation and prediction model based on grey theory(More)
This paper describes our solution for the MSR Video to Language Challenge. We start from the popular ConvNet + LSTM model, which we extend with two novel modules. One is early embedding, which enriches the current low-level input to LSTM by tag embeddings. The other is late reranking, for re-scoring generated sentences in terms of their relevance to a(More)
How to estimate cross-media relevance between a given query and an unlabeled image is a key question in the MSR-Bing Image Retrieval Challenge. We answer the question by proposing cross-media relevance fusion, a conceptually simple framework that exploits the power of individual methods for cross-media relevance estimation. Four base cross-media relevance(More)
OBJECTIVE Comparative study of racial-ethnic (RE) gestational age (GA) mean birth-weight (MBW) differences for 1968-1994. STUDY DESIGN Descriptive statistical analyses of 314,633 State of Hawai'i live birth certificates: birthweights of 500-5000 grams, gestational ages 24-42 weeks, and recorded Caucasian, Chinese, Filipino, Hawaiian, Japanese, Samoan, and(More)
This paper presents a data purification algorithm based on outlier mining. In order to implement the purifying of training data, we define the central bias function of complex events and dissimilarity function of event set, and put forward an exception set growth algorithm based on bias priority. Experiment proves that the algorithm can solve(More)
Oropharyngeal head and neck squamous cell carcinoma is a common malignant tumor in the oral cavity. High-risk human papillomavirus 16 infection is a major cause of oropharyngeal head and neck squamous cell carcinoma development. Strong antitumor immune responses, especially CD8+ T cell responses, are thought to be essential to effective cancer treatment and(More)