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Predicting user responses, such as clicks and conversions, is of great importance and has found its usage inmany Web applications including recommender systems, websearch and online advertising. The data in those applicationsis mostly categorical and contains multiple fields, a typicalrepresentation is to transform it into a high-dimensional sparsebinary feature representation via one-hot encoding...
An efficient frequency domain soft interference cancellation (FD-SIC) scheme is proposed for turbo frequency domain equalization (FDE) in multiple-input multiple-output (MIMO) system. At the transmitter, vertical-bell laboratory layered space-time (VBLAST) is suitable for multiple modulation and coding scheme (MCS) on different antennas, which can also enhance channel capacity. At the receiver, inter-antenna...
A novel Frequency Domain Turbo Equalization (FD-TE) is proposed in multiple input multiple output (MIMO) systems, in which equalization is executed on Single Frequency Tone (SFT). It is proposed that received data from all receive antennas on one frequency tone are considered jointly, and then minimum mean square error (MMSE) equalization is implemented. This algorithm can reduce the calculation complexity...
In this paper, a novel effective low-complexity single carrier frequency-domain equalization SC-FDE scheme in multiple-input multiple-output (MIMO) system is introduced under frequency selective channel. It contains the advantages of SC-FDE and the complexity decreasing in MMSE algorithm by frequency-domain QR (FD-QR) decomposition. Also a rearrangement is implemented according to signal to noise...
In this paper, a novel hierarchical algorithm is proposed for orthogonal frequency-division multiple-access wireless mesh networks (WMNs). The problem is to maximize the overall end-to-end rate with balancing the fairness among users, and find a new method as a substitute for Lee's resource allocation algorithm with high computational complexity. The proposed algorithm consists of two subproblems,...
A new algorithm based on facet model and Particle filter is presented to detect infrared small moving target in image sequence. Firstly, it utilizes a Bayesian based particle filter method to track the target in image sequence and get the target search window. Then the detection is performed on the image intensity surface of search window fitted by cubic facet model. The new partial derivative operators...
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