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Large Margin Object Tracking with Circulant Feature Maps
Structured output support vector machine (SVM) based tracking algorithms have shown favorable performance recently. Nonetheless, the time-consuming candidate sampling and complex optimization limitExpand
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Stochastic Network Calculus
The issue of Quality of Service (QoS) performance analysis in packet switching networks has drawn a lot of attention in the networking community in recent years. There is a lot of work including anExpand
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Improved Recurrent Neural Networks for Session-based Recommendations
Recurrent neural networks (RNNs) were recently proposed for the session-based recommendation task. The models showed promising improvements over traditional recommendation approaches. In this work,Expand
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A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons
Efforts to achieve the long-standing dream of realizing scalable learning algorithms for networks of spiking neurons in silicon have been hampered by (a) the limited scalability of analog neuronExpand
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Blind Image Quality Assessment Based on High Order Statistics Aggregation
Blind image quality assessment (BIQA) research aims to develop a perceptual model to evaluate the quality of distorted images automatically and accurately without access to the non-distortedExpand
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A survey of collaborative filtering based social recommender systems
Recommendation plays an increasingly important role in our daily lives. Recommender systems automatically suggest to a user items that might be of interest to her. Recent studies demonstrate thatExpand
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Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction
In pharmaceutical sciences, a crucial step of the drug discovery process is the identification of drug-target interactions. However, only a small portion of the drug-target interactions have beenExpand
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Opposition-based particle swarm algorithm with cauchy mutation
Particle swarm optimization (PSO) has shown its fast search speed in many complicated optimization and search problems. However, PSO could often easily fall into local optima. This paper presents anExpand
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Exploiting Geographical Neighborhood Characteristics for Location Recommendation
Geographical characteristics derived from the historical check-in data have been reported effective in improving location recommendation accuracy. However, previous studies mainly exploitExpand
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Enhancing particle swarm optimization using generalized opposition-based learning
Particle swarm optimization (PSO) has been shown to yield good performance for solving various optimization problems. However, it tends to suffer from premature convergence when solving complexExpand
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