Learning Human Activity Patterns Using Clustered Point Processes With Active …
Modeling event patterns is a central task in a wide range of disciplines. In applications such as studying human activity patterns, events often arrive clustered with sporadic and long periods of i…
Comparison of Beyond 1 GHz C-Plane Freestanding and Sapphire-Substrate GaN-Ba…
With ever-growing demand for 6G networks technology, visible light communication (VLC) as a vital component of 6G has challenging requirement for superior performance of light source. Herein, 20 μ…
Bias-Correction and Test for Mark-Point Dependence with Replicated Marked Poi…
Mark-point dependence plays a critical role in research problems that can be fitted into the general framework of marked point processes. In this work, we focus on adjusting for mark-point dependen…
Semiparametric Goodness-of-Fit Test for Clustered Point Processes with a Shap…
Specification of a parametric model for the intensity function is a fundamental task in statistics for spatial point processes. It is, therefore, crucial to be able to assess the appropriateness of…
Sub-kHz-Linewidth External-Cavity Laser (ECL) With Si3N4 Resonator Used as a …
Combining optical gain in direct-bandgap III-V materials with tunable optical feedback offered by advanced photonic integrated circuits is key to chip-scale external-cavity lasers (ECL), offering w…
Multi-Span Long-Haul Fiber Transmission Model Based on Cascaded Neural Networ…
In this paper, a novelty fiber transmission model consisting of cascaded neural networks with the multi-head attention mechanism has been put forward to solve signal transmission prediction problem…
Text-Guided Human Image Manipulation via Image-Text Shared Space
Text is a new way to guide human image manipulation. Albeit natural and flexible, text usually suffers from inaccuracy in spatial description, ambiguity in the description of appearance, and incomp…
Semiparametric Multinomial Logistic Regression for Multivariate Point Pattern…
We propose a new method for analysis of multivariate point pattern data observed in a heterogeneous environment and with complex intensity functions. We suggest semiparametric models for the intens…
SANet : A Slice-Aware Network for Pulmonary Nodule Detection
Lung cancer is the most common cause of cancer death worldwide. A timely diagnosis of the pulmonary nodules makes it possible to detect lung cancer in the early stage, and thoracic computed tomogra…
Dual Encoding for Video Retrieval by Text
This paper attacks the challenging problem of video retrieval by text. In such a retrieval paradigm, an end user searches for unlabeled videos by ad-hoc queries described exclusively in the form of…
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