Search
Search Results
-
Property Constrained Video Summarization via Regret Minimization
Video summarization has become one of the most effective solutions for quickly understanding a large amount of video data. Video properties such as...
-
Intellectual Property Law
This chapter discusses intellectual property including patents, copyrights and trademarks. Intellectual property law deals with the rules that apply...
-
Scenic routing navigation using property valuation
Extensive prior work has provided methods for the optimization of routing based on weights assigned to travel duration, and/or travel cost, and/or...
-
Incorporating topic and property for knowledge base synchronization
Open-domain knowledge bases have been widely used in many applications, and it is critical to maintain their freshness. Most existing studies update...
-
Efficient Anomaly Detection in Property Graphs
Property graphs are becoming increasingly popular for modeling entities, their relationships, and properties. Due to the computational complexity,...
-
UAVs for Monitoring Property Code Violations
City offices are constantly responding to public service requests. The efficiency at which they can do this depends on gathering data about where and...
-
Answering Property Path Queries over Federated RDF Systems
Property path query can get graph nodes meeting complex conditions with more concise expressions for some SPARQL basic graph patterns, which is an...
-
The effect of splitting strategy on qualitative property preservation
It is common for mathematical models of physical systems to possess qualitative properties such as positivity, monotonicity, or conservation of...
-
Intellectual Property Rights and Computer Technology
This chapter discusses the foundations of intellectual property rightsIntellectual property rights and how computer technologyComputertechnology has...
-
Cardinality estimation for property graph queries with gated learning approach on the graph database
With the increasing complexity of graph query processing tasks, it is difficult for users to obtain the accurate cardinality before or during the...
-
Partial Quantifier Elimination and Property Generation
We study partial quantifier elimination (PQE) for propositional CNF formulas with existential quantifiers. PQE is a generalization of quantifier...
-
Multiple kernel clustering with structure-preserving and block diagonal property
It is well known that graph-based multiple kernel clustering (GMKC) methods improve the clustering performance by integrating multiple kernel...
-
Intellectual Property Rights and Computer Technology
This chapter discusses the foundations of intellectual property rights and how computer technology has influenced and changed the traditional issues...
-
Scaffold Data Augmentation for Molecular Property Prediction
Recently, as the applications of machine learning boom in biochemistry, data augmentation has demonstrated its power in molecular generation tasks....
-
Join Ordering of SPARQL Property Path Queries
SPARQL property path queries provide a succinct way to write complex navigational queries over RDF knowledge graphs. However, their evaluation...
-
Safeguarding text generation API’s intellectual property through meaning-preserving lexical watermarks
We aim to protect text generation APIs in this work. Previous LW methods compromised text quality and made watermarks easy to detect through error...
-
Optimal neighborhood kernel clustering with adaptive local kernels and block diagonal property
The purpose of multiple kernel clustering (MKC) is usually to generate an optimal kernel by fusing the information of multiple base kernels. Among...
-
Developers talking about code quality
There are many aspects of code quality, some of which are difficult to capture or to measure. Despite the importance of software quality, there is a...
-
What can we learn from quality assurance badges in open-source software?
In the development of open-source software (OSS), many developers use badges to give an overview of the software and share some key features/metrics...
-
Intellectual property protection of DNN models
Deep learning has been widely applied in solving many tasks, such as image recognition, speech recognition, and natural language processing. It...
