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—Relevance feedback (RF), which introduces human visual perception into the retrieval process gradually, is an efficient improvement for narrowing down the gap between low-level visual feature representation of an image and its semantic meaning in content-based image retrieval (CBIR). In this paper, a new relevance feedback approach based on query refining(More)
Keywords: Automatic image annotation (AIA) Hidden Markov model (HMM) Transductive SVM Visual feature distribution Keyword correlation a b s t r a c t Automatic image annotation (AIA) is an effective technology to improve the performance of image retrieval. In this paper, we propose a novel AIA scheme based on hidden Markov model (HMM). Compared with the(More)
—Single antenna co-channel interference (CCI) cancellation is a challenge in mobile communication systems, especially for downlink systems. A novel single antenna CCI cancellation algorithm based on lattice reduction (LR) and decision feedback equalization scheme is proposed in this paper. The idea behind the proposed algorithm is to form a multi-channel(More)