Borsdorf, Ruediger

In many areas of science one often has a given matrix, representing forexample a measured data set and is required to find a matrix that isclosest in a suitable norm to the matrix and possesses additionally a structure,inherited from the model used or coming from the application. We call these problems structured matrix nearness problems. We look a...

Borsdorf, Ruediger

In many areas of science one often has a given matrix, representing forexample a measured data set and is required to find a matrix that isclosest in a suitable norm to the matrix and possesses additionally a structure,inherited from the model used or coming from the application. We call these problems structured matrix nearness problems. We look a...

Borsdorf, Ruediger

In many areas of science one often has a given matrix, representing forexample a measured data set and is required to find a matrix that isclosest in a suitable norm to the matrix and possesses additionally a structure,inherited from the model used or coming from the application. We call these problems structured matrix nearness problems. We look a...

Borsdorf, Ruediger

In many areas of science one often has a given matrix, representing forexample a measured data set and is required to find a matrix that isclosest in a suitable norm to the matrix and possesses additionally a structure,inherited from the model used or coming from the application. We call these problems structured matrix nearness problems. We look a...

Borsdorf, Ruediger

In many areas of science one often has a given matrix, representing forexample a measured data set and is required to find a matrix that isclosest in a suitable norm to the matrix and possesses additionally a structure,inherited from the model used or coming from the application. We call these problems structured matrix nearness problems. We look a...

Borsdorf, Ruediger

In many areas of science one often has a given matrix, representing forexample a measured data set and is required to find a matrix that isclosest in a suitable norm to the matrix and possesses additionally a structure,inherited from the model used or coming from the application. We call these problems structured matrix nearness problems. We look a...

Borsdorf, Ruediger

In many areas of science one often has a given matrix, representing forexample a measured data set and is required to find a matrix that isclosest in a suitable norm to the matrix and possesses additionally a structure,inherited from the model used or coming from the application. We call these problems structured matrix nearness problems. We look a...

Jenatton, Rodolphe Le Roux, Nicolas Bordes, Antoine Obozinski, Guillaume

Many data such as social networks, movie preferences or knowledge bases are multi-relational, in that they describe multiple relations between entities. While there is a large body of work focused on modeling these data, modeling these multiple types of relations jointly remains challenging. Further, existing approaches tend to breakdown when the n...

Jenatton, Rodolphe Le Roux, Nicolas Bordes, Antoine Obozinski, Guillaume

Many data such as social networks, movie preferences or knowledge bases are multi-relational, in that they describe multiple relations between entities. While there is a large body of work focused on modeling these data, modeling these multiple types of relations jointly remains challenging. Further, existing approaches tend to breakdown when the n...

Jenatton, Rodolphe Le Roux, Nicolas Bordes, Antoine Obozinski, Guillaume

Many data such as social networks, movie preferences or knowledge bases are multi-relational, in that they describe multiple relations between entities. While there is a large body of work focused on modeling these data, modeling these multiple types of relations jointly remains challenging. Further, existing approaches tend to breakdown when the n...