Modeling Multivariate Volatilities via Latent Common Factors
Volatility, represented in the form of conditional heteroscedasticity, plays an important role in controlling and forecasting risks in various financial operations including asset pricing, portfoli…
PRIN/SPRIN : On Extracting Point-Wise Rotation Invariant Features
Point cloud analysis without pose priors is very challenging in real applications, as the orientations of point clouds are often unknown. In this paper, we propose a brand new point-set learning fr…
Estimating and Exploiting the Impact of Photo Layout: A Structural Approach
Host-generated property images as a visual channel reveal substantial information about properties. Selecting proper images to display can lead to higher demand and increased rental revenue. In thi…
Miniaturization of 2 × 4 90-Degree Hybrid Optical Couplers
In this work we study the limits of miniaturization of a 90-degree hybrid coupler working in the L, C and S bands, with respect to a number of performance parameters aimed at its application for ba…
Measurements and Modeling of a Monolithically Integrated Self-Spiking Two-Sec…
The self-spiking behavior of an integrated saturable absorber and gain section laser fabricated in an InP technology platform is analyzed. The gain, absorber and intensity dynamics are first inspec…
Receiver IQ Imbalance and Skew Compensation for High Order Modulation Formats…
A typical coherent front-end may encounter imperfections, such as amplitude imbalance, phase imbalance and skew, between four sampling channels. These receiver (Rx) imperfections, together with tra…
Interaction-Aware Spatio-Temporal Pyramid Attention Networks for Action Class…
For CNN-based visual action recognition, the accuracy may be increased if local key action regions are focused on. The task of self-attention is to focus on key features and ignore irrelevant infor…
Understanding Pixel-Level 2D Image Semantics With 3D Keypoint Knowledge Engine
Pixel-level 2D object semantic understanding is an important topic in computer vision and could help machine deeply understand objects (e.g., functionality and affordance) in our daily life. Howeve…
Deep Model Intellectual Property Protection via Deep Watermarking
Despite the tremendous success, deep neural networks are exposed to serious IP infringement risks. Given a target deep model, if the attacker knows its full information, it can be easily stolen by …
The Incentive Game Under Target Effects in Ridesharing : A Structural Econome…
Problem definition: We study a ridesharing platform’s optimal bonus-setting decisions for capacity and profit maximization problems in which drivers set daily income targets. Academic and Practic…
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