Exemplar-Centered Supervised Shallow Parametric Data Embedding

Metric learning methods for dimensionality reduction in combination with k-Nearest Neighbors (kNN) have been extensively deployed in many classification, data embedding, and information retrieval applications. However, most of these approaches involve pairwise training data comparisons, and thus have quadratic computational complexity with respect to the size of training set, preventing them from scaling to fairly big datasets. Moreover, during testing, comparing test data against all the training data points is also expensive in terms of both computational cost and resources required. Furthermore, previous metrics are either too constrained or too expressive to be well learned. To effectively solve these issues, we present an exemplar-centered supervised shallow parametric data embedding model, using a Maximally Collapsing Metric Learning (MCML) objective. Our strategy learns a shallow high-order parametric embedding function and compares training/test data only with learned or precomputed exemplars, resulting in a cost function with linear computational complexity for both training and testing. We also empirically demonstrate, using several benchmark datasets, that for classification in two-dimensional embedding space, our approach not only gains speedup of kNN by hundreds of times, but also outperforms state-of-the-art supervised embedding approaches.Comment: accepted to IJCAI201

On Existence of alpha-Core Solutions for Games with Finite or Infinite Players

This gives two existence results of alpha-core solutions by introducing P-open conditions and strong P-open conditions into games without ordered preferences. The existence of alpha-core solutions is obtained for games with infinite-players. Secondly, it provides a short proof of Kajii's (Journal of Economic Theory 56, 194-205, 1992) existence theorem for alpha-core solutions, further, the Kajii's theorem is equivalent to the Browder fixed point theorem. In addition, the obtained existence results can include many typical results for alpha-core solutions and some recent existence results as special cases.Comment: 10 page

A Shadow-Like Task Migration Model Based on Context Semantics for Mobile and Pervasive Environments

Pervasive computing is a user-centric mobile computing paradigm, in which tasks should be migrated over different platforms in a shadow-like way when users move around. In this paper, we propose a context-sensitive task migration model that recovers program states and rebinds resources for task migrations based on context semantics through inserting resource description and state description sections in source programs. Based on our model, we design and develop a task migration framework xMozart which extends the Mozart platform in terms of context awareness. Our approach can recover task states and rebind resources in the context-aware way, as well as support multi-modality I/O interactions. The extensive experiments demonstrate that our approach can migrate tasks by resuming them from the last broken points like shadows moving along with the users

Green communication in energy renewable wireless mesh networks: routing, rate control, and power allocation

PublishedJournal Article© 2014 IEEE. The increasing demand for wireless services has led to a severe energy consumption problem with the rising of greenhouse gas emission. While the renewable energy can somehow alleviate this problem, the routing, flow rate, and power still have to be well investigated with the objective of minimizing energy consumption in multi-hop energy renewable wireless mesh networks (ER-WMNs). This paper formulates the problem of network-wide energy consumption minimization under the network throughput constraint as a mixed-integer nonlinear programming problem by jointly optimizing routing, rate control, and power allocation. Moreover, the min-max fairness model is applied to address the fairness issue because the uneven routing problem may incur the sharp reduction of network performance in multi-hop ER-WMNs. Due to the high computational complexity of the formulated mathematical programming problem, an energy-aware multi-path routing algorithm (EARA) is also proposed to deal with the joint control of routing, flow rate, and power allocation in practical multi-hop WMNs. To search the optimal routing, it applies a weighted Dijkstra's shortest path algorithm, where the weight is defined as a function of the power consumption and residual energy of a node. Extensive simulation results are presented to show the performance of the proposed schemes and the effects of energy replenishment rate and network throughput on the network lifetime

Licoflavanone exerts anticancer effects on human nasopharyngeal cancer cells via caspase activation, suppression of cell migration and invasion, and inhibition of m-TOR/PI3K/AKT pathway

Purpose: To study the anticancer effect of licoflavanone against human nasopharyngeal HKI carcinoma, and the mechanism involved. Methods: The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) assay was used to determine the effect of licoflavanone on cell viability, while DAPI staining and western blotting were used to study its proapoptotic effect. Morphological examination was performed under phase contrast microscopy. Transwell chamber assays were used to study cell migration and invasion. The expression levels of mTOR/PI3K/AKT signal pathway-related proteins were assayed by Western blotting. Results: Licoflavanone markedly suppressed the proliferation of nasopharyngeal HK1 cancer cells in a concentration-reliant pattern (p < 0.01). The anticancer effects of licoflavanone were mediated via induction of pro-apoptotic effects and blocking of mTOR/PI3K/AKT signal pathway. Licoflavanone enhanced the activities of caspase-3, caspase-8, caspase-9 and cleaved caspase-3, as well as Bax and Bad. Moreover, licoflavanone blocked the migration and invasion of HK1 nasopharyngeal cancer cells. Conclusion: Licoflavanone exerts potent anticancer effects on human nasopharyngeal cancer cells via caspase activation, inhibition of cell migration and cell invasion, and down-regulation of m-TOR/PI3K/AKT signal pathway. Therefore, licoflavanone may be a useful lead drug for the development of a treatment strategy for nasopharyngeal cancer

Primary studies of Chinese spaceborne SAR

The primary studies on spaceborne synthetic aperture radar (SAR) in China are discussed. The SAR will be launched aboard a Chinese satellite and operated at L-band with HH polarization. The purpose of the mission in consideration is dedicated to resources and environment uses, especially to natural disaster monitoring. The ground resolution is designed as 25 m x 25 m for detailed mode and 100 m x 100 m for wide scan-SAR mode. The off-nadir angle can be varied from 20 to 40 deg. The key system concepts are introduced