Titlebook: Knowledge Management and Acquisition for Intelligent Systems; 20th Principle and P Shiqing Wu,Xing Su,Byeong Ho Kang Conference proceedings

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,Precision 3D Motion Capture Using Pose Estimation Techniques: Application in?Sports Video Analysis,s in conventional 3D reconstruction techniques. Alternatively, decreased accuracy and problems with invisible areas resulted from utilizing fewer cameras. We apply domain knowledge of the human skeleton structure to our technique, using BlazePose as matching points for skeletal keypoint recognition.

吝嗇性

Occupation

,Optimizing Resource Distribution Towards Energy Justice in?Resilient Smart Grids,attacks. Under the guidance of energy justice, a concept of justice in the domain of energy supply, the resource allocation for resilience should not only consider efficiency. In this paper, we consider energy justice issues for a resilient smart grid resource allocation problem. We propose an appro

叢林

,Mining Prevalent Co-location Patterns with?Multiple Minimum Prevalence Thresholds,he pattern. To mine multiple minimum prevalence threshold-based PCPs efficiently, this paper also designs an algorithm based on a participating instance hash table. First, the dataset is scanned once to enumerate all maximal cliques that are sets of neighboring instances, and then these cliques are

爭吵

有節(jié)制

,Towards Responsible Decisions with?Limited Training Data Using Human-in-the-Loop,ed to a knowledge base on a case-by-case basis. This paper extends previous work using a human expert by using both artificial and real-world data and a simulated expert to add rules in multiple controlled experiments. Results show that domain knowledge can be successfully used in our approach to mi

手銬

LURE

gerrymander

,kNN-Res: Residual Neural Network with?kNN-Graph Coherence for?Point Cloud Registration,is introduced as a proxy for the intrinsically discrete kNN-graph cost. We present a theoretical justification for our Jacobian-based cost showing that it is sufficient for the preservation of the kNN-graph of the transformed point set. Further, to tackle the registration of high-dimensional point s

annexation