Kaoru Ota
Biographic Data
| ID | 10054703 |
|---|---|
| NAME | Kaoru Ota |
| GIVEN NAMES | Kaoru |
| FAMILY NAME | Ota |
| SIGNATURE | OTA K |
| AFFILIATIONS | Muroran Institute of Technology |
| ORCID | 0000-0002-3382-1652 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Lightweight Local Transformer PointPillars
3-D object detection from Light Detection and Ranging point clouds is a critical task for autonomous driving systems. While recent voxel-based methods (e.g., VoxelNet and PointPillars) have achieved promising performance, they face two critical limitations in practical deployment: 1) the unstructured nature of point clouds hinders contextual feature extraction in complex driving scenarios; and 2) the high computational demands of 3-D convolutions…
Single-Cell Multiuser Computation Offloading in Dynamic Pricing-Aided Mobile Edge Computing
Along with emerging mobile Internet applications embedded in tremendous growth of computing demand, mobile edge computing (MEC) could effectively address the issue of compute-intensive and latency-sensitive computation imposed on mobile terminals through performing computation offloading strategies. However, how to find optimal decisions of transmission power, computing capacity demand, and offloading demand at the end-user and how to determine t…
User Experience of Different Groups in Social VR Applications
Social virtual reality (VR) applications provide a diverse and evolving ecosystem for different groups to socialize in VR. Understanding how people explore social VR applications is crucial for VR developers, such as designing social VR content. Previous work has focused on interviewing participants to study the user experience (UX) of social VR. However, the potential value of user reviews of social VR platforms is largely unexplored. In this ar…
Multiple-Walrasian Auction Mechanism for Tree Valuation Service in NFV Market
As a new and effective technology, network function virtualization (NFV) manages network nodes to improve service performance for the next-generation network. Despite its promised effectiveness, efficiently deploying the functions to different consumers is the major difficulty presented in NFV. In this article, the multiple-Walrasian auction graphic model combined with virtual network functions of different bundled tree nodes based on Vickrey–Cla…
LBCF
Recommender system (RS) suggests relevant objects to generate personalized service and minimize information overload issue. User-based collaborative filtering (UBCF) plays a dominant role in practical RSs. However, traditional UBCF suffers from a recommendation overfitting problem, i.e., recommendations generated by UBCF usually concentrate on popular items, resulting in lower diversity. In addition, UBCF cannot maintain a reasonable tradeoff bet…
Recommender System-Based Diffusion Inferring for Open Social Networks
Open social network (OSN) plays a more significant role in information propagation through the rapid developing of information technology. Since information diffusion is an essential process happens in OSN, it has been studied in many studies. Several models have been proposed to infer the diffusion process and reproduce diffusion network. However, these methods have two critical problems: 1) ignoring the effects of user social characteristics an…
Alleviating New User Cold-Start in User-Based Collaborative Filtering via Bipartite Network
The recommender system (RS) can help us extract valuable data from a huge amount of raw information. User-based collaborative filtering (UBCF) is widely employed in practical RSs due to its outstanding performance. However, the traditional UBCF is subject to the new user cold-start issue because a new user is often extreme lack of available rating information. In this article, we develop a novel approach that incorporates a bipartite network into…
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Recommender System-Based Diffusion Inferring for Open Social Networks
Open social network (OSN) plays a more significant role in information propagation through the rapid developing of information technology. Since information diffusion is an essential process happens in OSN, it has been studied in many studies. Several models have been proposed to infer the diffusion process and reproduce diffusion network. However, these methods have two critical problems: 1) ignoring the effects of user social characteristics an…
Alleviating New User Cold-Start in User-Based Collaborative Filtering via Bipartite Network
The recommender system (RS) can help us extract valuable data from a huge amount of raw information. User-based collaborative filtering (UBCF) is widely employed in practical RSs due to its outstanding performance. However, the traditional UBCF is subject to the new user cold-start issue because a new user is often extreme lack of available rating information. In this article, we develop a novel approach that incorporates a bipartite network into…
LBCF
Recommender system (RS) suggests relevant objects to generate personalized service and minimize information overload issue. User-based collaborative filtering (UBCF) plays a dominant role in practical RSs. However, traditional UBCF suffers from a recommendation overfitting problem, i.e., recommendations generated by UBCF usually concentrate on popular items, resulting in lower diversity. In addition, UBCF cannot maintain a reasonable tradeoff bet…
Multiple-Walrasian Auction Mechanism for Tree Valuation Service in NFV Market
As a new and effective technology, network function virtualization (NFV) manages network nodes to improve service performance for the next-generation network. Despite its promised effectiveness, efficiently deploying the functions to different consumers is the major difficulty presented in NFV. In this article, the multiple-Walrasian auction graphic model combined with virtual network functions of different bundled tree nodes based on Vickrey–Cla…
Single-Cell Multiuser Computation Offloading in Dynamic Pricing-Aided Mobile Edge Computing
Along with emerging mobile Internet applications embedded in tremendous growth of computing demand, mobile edge computing (MEC) could effectively address the issue of compute-intensive and latency-sensitive computation imposed on mobile terminals through performing computation offloading strategies. However, how to find optimal decisions of transmission power, computing capacity demand, and offloading demand at the end-user and how to determine t…
User Experience of Different Groups in Social VR Applications
Social virtual reality (VR) applications provide a diverse and evolving ecosystem for different groups to socialize in VR. Understanding how people explore social VR applications is crucial for VR developers, such as designing social VR content. Previous work has focused on interviewing participants to study the user experience (UX) of social VR. However, the potential value of user reviews of social VR platforms is largely unexplored. In this ar…
Lightweight Local Transformer PointPillars
3-D object detection from Light Detection and Ranging point clouds is a critical task for autonomous driving systems. While recent voxel-based methods (e.g., VoxelNet and PointPillars) have achieved promising performance, they face two critical limitations in practical deployment: 1) the unstructured nature of point clouds hinders contextual feature extraction in complex driving scenarios; and 2) the high computational demands of 3-D convolutions…
Computer Science (6 works) · World Wide Web (4 works) · Data mining (3 works) · Information retrieval (3 works) · Recommender system (3 works) · Recommender Systems and Techniques (3 works) · Artificial Intelligence (2 works) · Bipartite graph (2 works) · Collaborative filtering (2 works) · Computer network (2 works)