While most existing enhancement tools for photographs have universal auto-enhancement functionality, recent research [8] shows that users can have personalized preferences. In thi...
Structured QBDs by Abstraction Daniel Klink, Anne Remke, Boudewijn R. Haverkort, Fellow, IEEE, and Joost-Pieter Katoen, Member, IEEE Computer Society —This paper studies quantita...
Daniel Klink, Anne Remke, Boudewijn R. Haverkort, ...
A k-query locally decodable code (LDC) C : n N encodes each message x into a codeword C(x) such that each symbol of x can be probabilistically recovered by querying only k coordina...
Yeow Meng Chee, Tao Feng, San Ling, Huaxiong Wang,...
Probabilistic techniques are widely used in the analysis of algorithms to estimate the computational complexity of algorithms or a computational problem. Traditionally, such analys...
Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...