Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleJuly 2024
Assuring Autonomy of UAVs in Mission-critical Scenarios by Performability Modeling and Analysis
ACM Transactions on Cyber-Physical Systems (TCPS), Volume 8, Issue 3Article No.: 30, Pages 1–24https://doi.org/10.1145/3624572Uncrewed Aerial Vehicles (UAVs) have been used in mission-critical scenarios such as Search and Rescue (SAR) missions. In such a mission-critical scenario, flight autonomy is a key performance metric that quantifies how long the UAV can continue the ...
- research-articleNovember 2023
Probabilistic Forecasting of Bus Travel Time with a Bayesian Gaussian Mixture Model
Transportation Science (TRNPS), Volume 57, Issue 6November-December 2023, Pages 1516–1535https://doi.org/10.1287/trsc.2022.0214Accurate forecasting of bus travel time and its uncertainty is critical to service quality and operation of transit systems: it can help passengers make informed decisions on departure time, route choice, and even transport mode choice, and it also ...
- research-articleFebruary 2023
Hierarchical network security situation awareness data fusion method in cloud computing environment
Journal of Computational Methods in Sciences and Engineering (JOCMSE), Volume 23, Issue 12023, Pages 237–251https://doi.org/10.3233/JCM-226542In order to improve the accuracy of hierarchical network security situational awareness data fusion and shorten the fusion time, this paper proposes a hierarchical network security situational awareness data fusion method in cloud computing environment. ...
- short-paperOctober 2022
BidH: A Bidirectional Hierarchical Model for Nested Named Entity Recognition
CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge ManagementOctober 2022, Pages 4600–4604https://doi.org/10.1145/3511808.3557554Nested Name Entity Recognition is to identify the entities with nested relationships from sentences, which has various applications ranging from relation extraction to semantic understanding. However, existing methods have two drawbacks, i.e., 1) error ...
- research-articleApril 2022
Document-Level Neural Machine Translation with Hierarchical Modeling of Global Context
Journal of Computer Science and Technology (JCST), Volume 37, Issue 2Apr 2022, Pages 295–308https://doi.org/10.1007/s11390-021-0286-3AbstractDocument-level machine translation (MT) remains challenging due to its difficulty in efficiently using document-level global context for translation. In this paper, we propose a hierarchical model to learn the global context for document-level ...
-
- letterApril 2021
Hierarchical spline for time series prediction: An application to naval ship engine failure rate
AbstractPredicting equipment failure is important because it could improve availability and cut down the operating budget. Previous literature has attempted to model failure rate with bathtub‐formed function, Weibull distribution, Bayesian network, or ...
- short-paperFebruary 2020
S3-NET: SRU-Based Sentence and Self-Matching Networks for Machine Reading Comprehension
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 19, Issue 3Article No.: 35, Pages 1–14https://doi.org/10.1145/3365679Machine reading comprehension question answering (MRC-QA) is the task of understanding the context of a given passage to find a correct answer within it. A passage is composed of several sentences; therefore, the length of the input sentence becomes ...
- research-articleOctober 2019
Hierarchical Global-Local Temporal Modeling for Video Captioning
MM '19: Proceedings of the 27th ACM International Conference on MultimediaOctober 2019, Pages 774–783https://doi.org/10.1145/3343031.3351072In this paper, a Hierarchical Temporal Model (HTM) is proposed for the video captioning task, based on exploring the global and local temporal structure to better recognize fine-grained objects and actions. In our HTM, the encoder and decoder are ...
- research-articleAugust 2017
Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach
SIGIR '17: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information RetrievalAugust 2017, Pages 285–294https://doi.org/10.1145/3077136.3080823A significant amount of search queries originate from some real world information need or tasks [13]. In order to improve the search experience of the end users, it is important to have accurate representations of tasks. As a result, significant amount ...
- research-articleApril 2017
A Method for Group Animation Based on Artificial Life
Procedia Computer Science (PROCS), Volume 107, Issue CApril 2017, Pages 129–134https://doi.org/10.1016/j.procs.2017.03.068The hierarchical group animation system model is deeply discussed by introducing the theory of artifical life. In order to effectively display the group animation and real time control, it adopted the control method with packet as the unit by ...
- articleAugust 2016
Local outlier factor and stronger one class classifier based hierarchical model for detection of attacks in network intrusion detection dataset
Frontiers of Computer Science: Selected Publications from Chinese Universities (FCS), Volume 10, Issue 4August 2016, Pages 755–766https://doi.org/10.1007/s11704-015-5116-8Identification of attacks by a network intrusion detection system (NIDS) is an important task. In signature or rule based detection, the previously encountered attacks are modeled, and signatures/rules are extracted. These rules are used to detect such ...
- ArticleMay 2016
A Deconvolutional Competitive Algorithm for Building Sparse Hierarchical Representations
BICT'15: Proceedings of the 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)May 2016, Pages 535–542https://doi.org/10.4108/eai.3-12-2015.2262428Sparse coding methods have been used to study how hierarchically organized representations in the visual cortex can be learned from unlabeled natural images. Here, we describe a novel Deconvolutional Competitive Algorithm (DCA), which explicitly learns ...
- research-articleFebruary 2016
Efficient Flattening Algorithm for Hierarchical and Dynamic Structure Discrete Event Models
ACM Transactions on Modeling and Computer Simulation (TOMACS), Volume 26, Issue 4Article No.: 25, Pages 1–25https://doi.org/10.1145/2875356Discrete event models are widely used to replicate, analyze, and understand complex systems. DEVS (Discrete Event System Specification) formalism enables hierarchical modeling, so it provides an efficiency in the model development of complex models. ...
- short-paperOctober 2015
Enhanced Word Embeddings from a Hierarchical Neural Language Model
CIKM '15: Proceedings of the 24th ACM International on Conference on Information and Knowledge ManagementOctober 2015, Pages 1927–1930https://doi.org/10.1145/2806416.2806637This paper proposes a neural language model to capture the interaction of text units of different levels, i.e.., documents, paragraphs, sentences, words in an hierarchical structure. At each paralleled level, the model incorporates Markov property while ...
- short-paperOctober 2015
Spatio-Temporal Triangular-Chain CRF for Activity Recognition
MM '15: Proceedings of the 23rd ACM international conference on MultimediaOctober 2015, Pages 1151–1154https://doi.org/10.1145/2733373.2806304Understanding human activities in video is a fundamental problem in computer vision. In real life, human activities are composed of temporal and spatial arrangement of actions. Understanding such complex activities requires recognizing not only each ...
- research-articleOctober 2015
Enhanced hierarchical model of object recognition based on a novel patch selection method in salient regions
IET Computer Vision (CVI2), Volume 9, Issue 5October 2015, Pages 663–672https://doi.org/10.1049/iet-cvi.2014.0249The biologically inspired hierarchical model for object recognition, Hierarchical Model and X (HMAX), has attracted considerable attention in recent years. HMAX is robust (i.e. shift‐ and scale‐invariant), but its use of random‐patch‐selection makes it ...
- research-articleAugust 2015
Scene text detection method based on the hierarchical model
IET Computer Vision (CVI2), Volume 9, Issue 4August 2015, Pages 500–510https://doi.org/10.1049/iet-cvi.2014.0297As an important step in text‐based information extraction systems, scene text detection has become a popular subject of research in recent years. In this study, the authors present a novel approach to robustly detect texts which are variable in scales, ...
- research-articleMay 2015
Network security risk assessment based on item response theory
MobiMedia '15: Proceedings of the 8th International Conference on Mobile Multimedia CommunicationsMay 2015, Pages 117–122Owing to the traditional risk assessment method has one-sidedness and is difficult to reflect the real network situation, a risk assessment method based on Item Response Theory (IRT) is put forward in network security. First of all, the novel algorithms ...
- ArticleApril 2015
Interpretation Algorithm for Active Electromagnetic Monitoring Data within Double-Rank Hierarchical Model of Geological Environment
ICISCE '15: Proceedings of the 2015 2nd International Conference on Information Science and Control EngineeringApril 2015, Pages 783–787https://doi.org/10.1109/ICISCE.2015.180This paper considers the double-rank hierarchical model of the geological environment, which is a layered block structure in which blocks which differ from adjacent blocks their electrical parameters are geoelectric heterogeneities of the first rank, ...
- research-articleOctober 2014
Estimation of Trust values for Varying Levels of Trustworthiness based on Infrastructure as a Service
ICONIAAC '14: Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied ComputingOctober 2014, Article No.: 16, Pages 1–9https://doi.org/10.1145/2660859.2660921Cloud computing has emerged as a paradigm to deliver on demand resources to enable the customers with access to their infrastructure and application services on a subscription basis. In recent times, increasing number of people carry out variety of ...