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A 2D intra prediction with geometrical manipulations (2DIP) was proposed in [Yai, et al; 2008 ] to enhance the intra coding performance of H.264/AVC. However, the complexity of 2DIP is high if the full search scheme is used. In this work, we investigate ways to speed up the intra prediction mode decision for 2DIP. To achieve this, we first conduct a block correlation analysis that reveals the unique...
When correlated sources are to be communicated over a network to more than one sink, joint source-network coding is, in general, required for information theoretically optimal transmission. Whereas on the encoder side simple randomized schemes based on linear codes suffice, the decoder is required to perform joint source-network decoding which is computationally expensive. Focusing on maximum a-posteriori...
Both temporal prediction and inter-view prediction are employed to improve the coding efficiency in multiview video coding. Hierarchical B pictures are usually used as the basic structure for temporal prediction. The inter-view prediction in each temporal hierarchy level brings different improvement to the entire coding efficiency. We propose a scalable prediction structure in which inter-view prediction...
Scalable joint decoding of correlated observations transmitted using distributed quantization in a sensor-network is considered. In particular, quantized observations are modeled as a Markov-random field (MRF), from which we construct a factor-graph for implementing the decoder using the well known sum-product algorithm. An attractive property of this approach is that the decoder complexity can be...
We propose a trellis-based soft-input-soft-output (SISO) a posteriori probability (APP) decoding technique for variable-length coded correlated sources. This technique allows not only the (ML) sequence estimation but also the computation of bit-based reliability values. The notable feature of the proposed technique is that its calculation complexity and memory space requirement are both low. Moreover,...
A degree-d polynomial p in n variables over a field F is equidistributed if it takes on each of its |F| values close to equally often, and biased otherwise. We say that p has low rank if it can be expressed as a function of a small number of lower degree polynomials. Green and Tao [GT07] have shown that over large fields (i.e when d <|F|) a biased polynomial must have low rank. They have also conjectured...
In this paper, we study the intercell interference influence on the performance of cell search in TD-SCDMA and propose a new cell search scheme which aims at improving the success probability of the cell search in severe inter-cell interference environment. In our scheme, the multi-cell joint detection (JD) is adopted to reduce the inter-cell interference. The number of cells considered in the multi-cell...
In this paper, ensembles of k-nearest neighbors classifiers are explored for gene expression cancer classification, where each classifier is linked to a randomly selected subset of genes. It is experimentally demonstrated using five datasets that such ensembles can yield both good accuracy and dimensionality reduction. If a characteristic called dataset complexity guides which random subset to include...
Gene expression based cancer classification using classifier ensembles is the main focus of this work. A new ensemble method is proposed that combines predictions of a small number of k-nearest neighbor (k-NN) classifiers with majority vote. Diversity of predictions is guaranteed by assigning a separate feature subset, randomly sampled from the original set of features, to each classifier. Accuracy...
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