Face Recognition from Sequential Sparse 3D Data via Deep Registration

Previous works have shown that face recognition with high accurate 3D data is more reliable and insensitive to pose and illumination variations. Recently, low-cost and portable 3D acquisition techniques like ToF(Time of Flight) and DoE based structured light systems enable us to access 3D data easily, e.g., via a mobile phone. However, such devices only provide sparse(limited speckles in structured light system) and noisy 3D data which can not support face recognition directly. In this paper, we aim at achieving high-performance face recognition for devices equipped with such modules which is very meaningful in practice as such devices will be very popular. We propose a framework to perform face recognition by fusing a sequence of low-quality 3D data. As 3D data are sparse and noisy which can not be well handled by conventional methods like the ICP algorithm, we design a PointNet-like Deep Registration Network(DRNet) which works with ordered 3D point coordinates while preserving the ability of mining local structures via convolution. Meanwhile we develop a novel loss function to optimize our DRNet based on the quaternion expression which obviously outperforms other widely used functions. For face recognition, we design a deep convolutional network which takes the fused 3D depth-map as input based on AMSoftmax model. Experiments show that our DRNet can achieve rotation error 0.95{\deg} and translation error 0.28mm for registration. The face recognition on fused data also achieves rank-1 accuracy 99.2% , FAR-0.001 97.5% on Bosphorus dataset which is comparable with state-of-the-art high-quality data based recognition performance.Comment: To be appeared in ICB201

Domain wall brane in a reduced Born-Infeld-f(T)f(T) theory

The Born-Infeld $f(T)$ theory is reduced from the Born-Infeld determinantal gravity in Weitzenb\"ock spacetime. We investigate a braneworld scenario in this theory and obtain an analytic domain wall solution by utilizing the first-order formalism. The model is stable against the linear tensor perturbation. It is shown that the massless graviton is localized on the brane, but the continuous massive gravitons are non-localized and will generate a tiny correction with the behavior of ${1}/{(k r)^{3}}$ to the Newtonian potential. The four-dimensional teleparallel gravity is recovered as an effective infrared theory on the brane. As a physical application, we consider the (quasi-)localization property of spin-1/2 Dirac fermion in this model.Comment: 9 pages, 2 figures, published versio

Towards Bidirectional Hierarchical Representations for Attention-Based Neural Machine Translation

This paper proposes a hierarchical attentional neural translation model which focuses on enhancing source-side hierarchical representations by covering both local and global semantic information using a bidirectional tree-based encoder. To maximize the predictive likelihood of target words, a weighted variant of an attention mechanism is used to balance the attentive information between lexical and phrase vectors. Using a tree-based rare word encoding, the proposed model is extended to sub-word level to alleviate the out-of-vocabulary (OOV) problem. Empirical results reveal that the proposed model significantly outperforms sequence-to-sequence attention-based and tree-based neural translation models in English-Chinese translation tasks.Comment: Accepted for publication at EMNLP 201

MSSM Anatomy of the Polarization Puzzle in B --> phi K* Decays

We analyze the $B \to \phi K^{*}$ polarization puzzle in the Minimal Supersymmetric Standard Model (MSSM) including the neutral Higgs boson (NHB) contributions. To calculate the non-factorizable contributions to hadronic matrix elements of operators, we have used the QCD factorization framework to the $\alpha_s$ order. It is shown that the recent experimental results of the polarization fractions in $B\to \phi K^{*}$ decays, which are difficult to be explained in SM, could be explained in MSSM if there are flavor non-diagonal squark mass matrix elements of 2nd and 3rd generations, which also satisfy all relevant constraints from known experiments ($B\to X_s\gamma, B_s\to \mu^+\mu^-, B\to X_s \mu^+\mu^-, B\to X_s g, \Delta M_s$, etc.). We have shown in details that the experimental results can be accommodated with the flavor non-diagonal mass insertion of chirality RL, RL+LR, RR, or LL+ RR when the NHB contributions as well as $\mathcal{O}(\alpha_s)$ corrections of hadronic matrix elements of operators are included. However the branching ratios for the decay are smaller than the experimental measurements.Comment: 15 pages, 5 figures, minor revision and references adde

El efecto de los letreros de información y la posición del diseño de la publicidad impresa en el comportamiento de compra: efecto moderador del conocimiento de la marca y el rango de precios

The purpose of this research is to discover the consumers’ buying behavior influence of information symbols in print advertisements, and also added the brand awareness and price range of the products as the interference, and to find out whether to increase or decrease the information symbols and page layout on purchasing behavior influence. A 3C electrical appliance retail channel in Taiwan has been applied as the research object, concentrating on the advertisement DM during the four promotions in 2013 and the sales volume. There were 1,196 product information and 136 3C electrical appliance brands. According to the variance analysis, the results indicated: First, some information symbols included the positive and negative effects on purchasing behavior; Second, overall, the interference effects only influenced low to medium brand awareness and low price range. In sum, the research generated both theoretical and practical implications and also provided future research advice.El propósito de esta investigación fue descubrir la influencia del comportamiento de compra de los consumidores de los símbolos de información en los anuncios impresos, y también agregó el conocimiento de la marca y el rango de precios de los productos como la interferencia, para averiguar si aumentar o disminuir la información, así como ver la influencia de los símbolos y el diseño de la página sobre el comportamiento de compra. Se ha aplicado un canal minorista de electrodomésticos 3C en Taiwán como objeto de investigación, concentrándose en el DM publicitario durante las cuatro promociones en 2013 y el volumen de ventas. Según el análisis de varianza, los resultados indicaron: Primero, algunos símbolos de información incluían los efectos positivos y negativos sobre el comportamiento de compra; En segundo lugar, en general, los efectos de interferencia solo influyeron en el conocimiento de la marca de bajo a medio y en el rango de precios bajo. En resumen, la investigación generó implicaciones tanto teóricas como prácticas y también brindó asesoramiento para futuras investigaciones