Automatic image annotation has been becoming an attractive research subject. Most current image annotation methods are based on training techniques. The major weaknesses of such solutions include limited annotation vocabulary and labor-intensive involvement. However, Web images possess a lot of texts, and rich annotation of samples is provided. Therefore, this report provides a novel image anno...

It is the second time that the Chinese Information Processing group of NLPR participates in TREC. In the past, we have investigated the use of two key technologies: Window-based weighting method and Semantic Tree Model for query expansion, with success, to tasks in novelty and robust tracks. We focused on the Robust Retrieval Track at this year’s conference. Based on the previous IR architectur...

Segmental and fixed-frame signal representations were compared in different noise conditions in a weakly supervised word recognition task using a non-negative matrix factorization (NMF) framework. The experiments show that fixed-frame windowing results in better recognition rates with clean signals. When noise is introduced to the system, robustness of segmental signal representations becomes u...

One important issue in the theory of Ordered Weighted Averaging (OWA) operators is the determination of the associated weights. One of the first approaches, suggested by O’Hagan, determines a special class of OWA operators having maximal entropy of the OWA weights for a given level of orness; algorithmically it is based on the solution of a constrained optimization problem. In this paper, using...

Information retrieval is the process of evaluating a user's query, or information need, against a set of documents (books, journal articles, web pages, etc.) to determine which of the documents satisses the query. With the advent of the World Wide Web, there is suddenly a need to query enormous sets of documents both eeciently and accurately. In the vector space model of information retrieval, ...

Classifier performance is often enhanced through combining multiple streams of information. In the context of multistream HMM/ANN systems in ASR, a confidence measure widely used in classifier combination is the entropy of the posteriors distribution output from each ANN, which generally increases as classification becomes less reliable. The rule most commonly used is to select the ANN with the...

It is a question of what happens to the issue global equity when humans have access space resources. This paper investigates based on post-space exploration, develops model, and explores future vision asteroid mining this model. Firstly, seven indicators are selected as for dimensionally reduced using principal component analysis, followed by entropy weighting method (EWM)-TOPSIS calculate inde...