We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
Abstract. The input to a constraint satisfaction problem (CSP) consists of a set of variables, each with a domain, and constraints between these variables formulated by relations o...
This paper presents a new active queue management scheme, Fuzzy Explicit Marking (FEM), implemented within the differentiated services (Diff-Serv) framework to provide congestion ...
Chrysostomos Chrysostomou, Andreas Pitsillides, Ge...
Thermal monitoring of a design plays a vital role to ensure safe and reliable thermal operating conditions. Thermal monitoring by employing thermal sensors is a popular technique ...
Rajarshi Mukherjee, Somsubhra Mondal, Seda Ogrenci...