Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Can Wang"'
Publikováno v:
Cognitive Computation. 13:1333-1344
Background State-of-the-art lane detection methods have achieved prominent performance in complex scenarios, but many limits have also existed. For example, only a fixed number of lanes can be detected, and the cost of detection time is unaffordable
Publikováno v:
Neural Computing and Applications. 35:13077-13092
Recommendation system, or recommender system, is widely used in online Web applications like e-commerce Web sites and movie review Web sites. Sequential recommender put more emphasis upon user’s short-term preference through exploiting information
Publikováno v:
International Journal of Machine Learning and Cybernetics. 12:1015-1030
The development of mobile Internet and sharing economy brings the prosperity of spatial crowdsourcing (SC). Pricing is a crucial step for SC platforms to solve the Profit-driven Task Assignment (PTA) problem to maximize their total profit. However, d
Publikováno v:
World Wide Web. 22:517-531
Current multi-output regression method usually ignores the relationship among response variables, and thus it is challenging to obtain an effective coefficient matrix for predicting the response variables with the features. We address these problems
Publikováno v:
Applied Intelligence. 46:521-533
Recommender systems have attracted lots of attention since they alleviate the information overload problem for users. Matrix factorization is one of the most widely employed collaborative filtering techniques in the research of recommender systems du
Publikováno v:
The Journal of Supercomputing. 72:2874-2890
Information fusion is a very important technology which can use multisensor network data to get a better performance than single one; therefore, it is widely used in the filed of target recognition, target tracking, automatic control, decision making
Publikováno v:
Neural Processing Letters. 43:603-609
Based on advantages of basic non-negative sparse coding (NNSC) model, and considered the prior class constraint of image features, a novel NNSC model is discussed here. In this NNSC model, the sparseness criteria is selected as a two-parameter densit