Language-based multimedia information retrieval

This paper describes various methods and approaches for language-based multimedia information retrieval, which have been developed in the projects POP-EYE and OLIVE and which will be developed further in the MUMIS project. All of these project aim at supporting automated indexing of video material by use of human language technologies. Thus, in contrast to image or sound-based retrieval methods, where both the query language and the indexing methods build on non-linguistic data, these methods attempt to exploit advanced text retrieval technologies for the retrieval of non-textual material. While POP-EYE was building on subtitles or captions as the prime language key for disclosing video fragments, OLIVE is making use of speech recognition to automatically derive transcriptions of the sound tracks, generating time-coded linguistic elements which then serve as the basis for text-based retrieval functionality

The application of gradient algorithms to the optimization of controlled versions of the World 2 model of Forrester

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The valuation and hedging of variable rate savings accounts

Variable rate savings accounts have two main features. The client rate is variable and deposits can be invested and withdrawn at any time. However, customer behaviour is not fully rational and actions are often performed with a delay. This paper focusses on measuring the interest rate risk of variable rate savings accounts on a value basis (duration) and on the problem how to hedgethese accounts. In order to model the embedded options and the customer behaviour we implement a partial adjustment specification. The interest rate policy of the bank is described in an error-correction mode

A branch-and-price algorithm for solving the cutting strips problem

After giving a suitable model for the cutting strips problem, we present a branch-and-price algorithm for it by combining the column generation technique and the branch-and-bound method with LP relaxations. Some theoretical issues and implementation details about the algorithm are discussed, including the solution of the pricing subproblem, the quality of LP relaxations, the branching scheme as well as the column management. Finally, preliminary computational experience is reported

The Valuation and Hedging of Variable Rate Savings Accounts

Variable rate savings accounts have two main features. The client rate is variable and deposits can be invested and withdrawn at any time. However, customer behaviour is not fully rational and actions are often performed with a delay. This paper focusses on measuring the interest rate risk of variable rate savings accounts on a value basis (duration) and on the problem how to hedgethese accounts. In order to model the embedded options and the customer behaviour we implement a partial adjustment specification. The interest rate policy of the bank is described in an error-correction mode