Amund Tveit | Microsoft - Academia.edu (original) (raw)

Papers by Amund Tveit

Research paper thumbnail of DeepLearningKit -an Open Source Deep Learning Framework for Apple's iOS, OS X and tvOS developed in Metal and Swift

In this paper we present DeepLearningKit-an open source framework that supports using pre-trained... more In this paper we present DeepLearningKit-an open source framework that supports using pre-trained deep learning models (convolutional neural networks) for iOS, OS X and tvOS. DeepLearningKit is developed in Metal in order to utilize the GPU efficiently and Swift for integration with applications, e.g. iOS-based mobile apps on iPhone/iPad, tvOS-based apps for the big screen, or OS X desktop applications. The goal is to support using deep learning models trained with popular frameworks such as Caffe, Torch, TensorFlow, Theano, Pylearn, Deeplearning4J and Mocha. Given the massive GPU resources and time required to train Deep Learning models we suggest an App Store like model to distribute and download pretrained and reusable Deep Learning models.

Research paper thumbnail of Temporal layers for presenting personalization markers on imagery

Research paper thumbnail of Recent trends in cluster computing

Proceedings of the International …

This paper gives an overview of recent cluster computing technology trends with a focus on cluste... more This paper gives an overview of recent cluster computing technology trends with a focus on clusters that are used for high-performance computing (HPC). Here, a network of workstations and/or PCs is used rather than a traditional supercomputer. Although the network speed is still generally slow compared to available processing speed, and implementing distributed memory programs is generally harder than shared-memory programs, the price and flexibility of such systems cannot be underestimated. Tools like ...

Research paper thumbnail of Anonymization of general practitioner medical records

Research paper thumbnail of Software Agents for Mobile Commerce Services Support

ABSTRACT This chapter considers an application of software agents to mobile commerce services pro... more ABSTRACT This chapter considers an application of software agents to mobile commerce services provision. With the increasing number of e-commerce services for mobile devices, there are challenges in making these services more personalized and in taking into account the severely constrained bandwidth and restricted user interface these devices currently provide. In this chapter we present an agent-based platform for support of mobile commerce usingwireless devices.

Research paper thumbnail of Approximating Symmetric Linear Systems with recursive partial-Hankel Series Expansion

Research paper thumbnail of Anonymization of General Practioner Medical Records Amund

Research paper thumbnail of Physicians' Use of Clinical Information Systems in the Discharge Process: An Observational Study

Abstract This study has been performed in order to categorize and measure usage of different info... more Abstract This study has been performed in order to categorize and measure usage of different information sources and types in a well defined stage of clinical work. The underlying motivation is to improve computer-supported presentation and retrieval of relevant information and to be able to evaluate the functionality of a future improved interface to the electronic patient record (EPR).

Research paper thumbnail of Acceleration of Mobile Commerce using Predictive Retrieval

With the increasing number of competing mobile services, the process of acquiring new, and retain... more With the increasing number of competing mobile services, the process of acquiring new, and retaining existing customers becomes harder. Acquisition of new customers can, to some degree, be done with increased marketing efforts, but marketing has less effect for retaining existing customers, since they allready know the service. Improving the mobile service is likely to be the best way to retain existing customers.

Research paper thumbnail of Finding Relevant Litterature for Agent Research

Abstract Software agent research is the most recent and prominent contribution to the field of so... more Abstract Software agent research is the most recent and prominent contribution to the field of software engineering. Nevertheless, the process of finding relevant litterature in this domain is a tremendous challenge, and it is frequently not found using traditional Internet search engines. This paper meets this challenge by applying other and usually better information sources, examples of such sources are library and topic-specific databases.

Research paper thumbnail of Web Usage Mining with Inductive Logic Programming

Abstract This paper suggests an experimental approach of how to apply inductive logic programming... more Abstract This paper suggests an experimental approach of how to apply inductive logic programming in the discovery of web usage patterns in the form of first-order rules representing user sessions. Such rules may be used to improve the quality and the performance of a web site. The experiment has been done using the Progol Inductive Logic Programming System, and the data source are log files from an Apache web server. Keywords: Inductive Logic Programming, Data Mining

Research paper thumbnail of Research Proposal-Topic Detection and Tracking of Scientific Literature and Research Proposals

How to cope with information overload is becoming an increasingly important problem even for scie... more How to cope with information overload is becoming an increasingly important problem even for scientists. Search engines such as Scholar, CiteSeer, SmealSearch, Google, MSN and Yahoo tries to solve this problem by indexing (variable size) samples of publicly available texts (in various formats) from the web. With the recent introduction of desktop search the user's own data so that search can be performed simultaneously locally on and on the web.

Research paper thumbnail of Customizing Cyberspace: Methods for User Representation and Prediction

Abstract Cyberspace plays an increasingly important role in people's life due to its plentiful of... more Abstract Cyberspace plays an increasingly important role in people's life due to its plentiful offering of services and information, eg the Word Wide Web, the Mobile Web and Online Games. However, the usability of cyberspace services is frequently reduced by its lack of customization according to individual needs and preferences.

Research paper thumbnail of A survey of agent-oriented software engineering; Norwegian University of Science and Technology; 2001

Research paper thumbnail of Recent trends in cluster computing

Proceedings of the …, Jan 1, 2003

This paper gives an overview of recent cluster computing technology trends with a focus on cluste... more This paper gives an overview of recent cluster computing technology trends with a focus on clusters that are used for high-performance computing (HPC). Here, a network of workstations and/or PCs is used rather than a traditional supercomputer. Although the network speed is still generally slow compared to available processing speed, and implementing distributed memory programs is generally harder than shared-memory programs, the price and flexibility of such systems cannot be underestimated. Tools like ...

Research paper thumbnail of Empirical Comparison of Accuracy and Performance for the MIPSVM classifier with Existing Classifiers

Research paper thumbnail of Scalability analysis of the zereal massively multiplayer game simulator

Research paper thumbnail of Empirical performance evaluation of the zereal massively multiplayer online game simulator

Research paper thumbnail of Gprot: Annotating protein interactions using google and gene ontology

Knowledge-Based …, Jan 1, 2005

Research paper thumbnail of Genetic inductive logic programming

Abstract: The most used method of finding logical rules from data, inductive logic programming (I... more Abstract: The most used method of finding logical rules from data, inductive logic programming (ILP), has shown successful, but unfortunately not very scalable with increasing problem size. In this report a model for doing induction of logical rules, using the concepts of the potentially more scalable method of genetic algorithm, is suggested.

Research paper thumbnail of DeepLearningKit -an Open Source Deep Learning Framework for Apple's iOS, OS X and tvOS developed in Metal and Swift

In this paper we present DeepLearningKit-an open source framework that supports using pre-trained... more In this paper we present DeepLearningKit-an open source framework that supports using pre-trained deep learning models (convolutional neural networks) for iOS, OS X and tvOS. DeepLearningKit is developed in Metal in order to utilize the GPU efficiently and Swift for integration with applications, e.g. iOS-based mobile apps on iPhone/iPad, tvOS-based apps for the big screen, or OS X desktop applications. The goal is to support using deep learning models trained with popular frameworks such as Caffe, Torch, TensorFlow, Theano, Pylearn, Deeplearning4J and Mocha. Given the massive GPU resources and time required to train Deep Learning models we suggest an App Store like model to distribute and download pretrained and reusable Deep Learning models.

Research paper thumbnail of Temporal layers for presenting personalization markers on imagery

Research paper thumbnail of Recent trends in cluster computing

Proceedings of the International …

This paper gives an overview of recent cluster computing technology trends with a focus on cluste... more This paper gives an overview of recent cluster computing technology trends with a focus on clusters that are used for high-performance computing (HPC). Here, a network of workstations and/or PCs is used rather than a traditional supercomputer. Although the network speed is still generally slow compared to available processing speed, and implementing distributed memory programs is generally harder than shared-memory programs, the price and flexibility of such systems cannot be underestimated. Tools like ...

Research paper thumbnail of Anonymization of general practitioner medical records

Research paper thumbnail of Software Agents for Mobile Commerce Services Support

ABSTRACT This chapter considers an application of software agents to mobile commerce services pro... more ABSTRACT This chapter considers an application of software agents to mobile commerce services provision. With the increasing number of e-commerce services for mobile devices, there are challenges in making these services more personalized and in taking into account the severely constrained bandwidth and restricted user interface these devices currently provide. In this chapter we present an agent-based platform for support of mobile commerce usingwireless devices.

Research paper thumbnail of Approximating Symmetric Linear Systems with recursive partial-Hankel Series Expansion

Research paper thumbnail of Anonymization of General Practioner Medical Records Amund

Research paper thumbnail of Physicians' Use of Clinical Information Systems in the Discharge Process: An Observational Study

Abstract This study has been performed in order to categorize and measure usage of different info... more Abstract This study has been performed in order to categorize and measure usage of different information sources and types in a well defined stage of clinical work. The underlying motivation is to improve computer-supported presentation and retrieval of relevant information and to be able to evaluate the functionality of a future improved interface to the electronic patient record (EPR).

Research paper thumbnail of Acceleration of Mobile Commerce using Predictive Retrieval

With the increasing number of competing mobile services, the process of acquiring new, and retain... more With the increasing number of competing mobile services, the process of acquiring new, and retaining existing customers becomes harder. Acquisition of new customers can, to some degree, be done with increased marketing efforts, but marketing has less effect for retaining existing customers, since they allready know the service. Improving the mobile service is likely to be the best way to retain existing customers.

Research paper thumbnail of Finding Relevant Litterature for Agent Research

Abstract Software agent research is the most recent and prominent contribution to the field of so... more Abstract Software agent research is the most recent and prominent contribution to the field of software engineering. Nevertheless, the process of finding relevant litterature in this domain is a tremendous challenge, and it is frequently not found using traditional Internet search engines. This paper meets this challenge by applying other and usually better information sources, examples of such sources are library and topic-specific databases.

Research paper thumbnail of Web Usage Mining with Inductive Logic Programming

Abstract This paper suggests an experimental approach of how to apply inductive logic programming... more Abstract This paper suggests an experimental approach of how to apply inductive logic programming in the discovery of web usage patterns in the form of first-order rules representing user sessions. Such rules may be used to improve the quality and the performance of a web site. The experiment has been done using the Progol Inductive Logic Programming System, and the data source are log files from an Apache web server. Keywords: Inductive Logic Programming, Data Mining

Research paper thumbnail of Research Proposal-Topic Detection and Tracking of Scientific Literature and Research Proposals

How to cope with information overload is becoming an increasingly important problem even for scie... more How to cope with information overload is becoming an increasingly important problem even for scientists. Search engines such as Scholar, CiteSeer, SmealSearch, Google, MSN and Yahoo tries to solve this problem by indexing (variable size) samples of publicly available texts (in various formats) from the web. With the recent introduction of desktop search the user's own data so that search can be performed simultaneously locally on and on the web.

Research paper thumbnail of Customizing Cyberspace: Methods for User Representation and Prediction

Abstract Cyberspace plays an increasingly important role in people's life due to its plentiful of... more Abstract Cyberspace plays an increasingly important role in people's life due to its plentiful offering of services and information, eg the Word Wide Web, the Mobile Web and Online Games. However, the usability of cyberspace services is frequently reduced by its lack of customization according to individual needs and preferences.

Research paper thumbnail of A survey of agent-oriented software engineering; Norwegian University of Science and Technology; 2001

Research paper thumbnail of Recent trends in cluster computing

Proceedings of the …, Jan 1, 2003

This paper gives an overview of recent cluster computing technology trends with a focus on cluste... more This paper gives an overview of recent cluster computing technology trends with a focus on clusters that are used for high-performance computing (HPC). Here, a network of workstations and/or PCs is used rather than a traditional supercomputer. Although the network speed is still generally slow compared to available processing speed, and implementing distributed memory programs is generally harder than shared-memory programs, the price and flexibility of such systems cannot be underestimated. Tools like ...

Research paper thumbnail of Empirical Comparison of Accuracy and Performance for the MIPSVM classifier with Existing Classifiers

Research paper thumbnail of Scalability analysis of the zereal massively multiplayer game simulator

Research paper thumbnail of Empirical performance evaluation of the zereal massively multiplayer online game simulator

Research paper thumbnail of Gprot: Annotating protein interactions using google and gene ontology

Knowledge-Based …, Jan 1, 2005

Research paper thumbnail of Genetic inductive logic programming

Abstract: The most used method of finding logical rules from data, inductive logic programming (I... more Abstract: The most used method of finding logical rules from data, inductive logic programming (ILP), has shown successful, but unfortunately not very scalable with increasing problem size. In this report a model for doing induction of logical rules, using the concepts of the potentially more scalable method of genetic algorithm, is suggested.

Research paper thumbnail of Mapreduce in Search

Research paper thumbnail of Mapreduce Algorithms

This presentation will give an overview of mapreduce-based algorithms described in recent papers ... more This presentation will give an overview of mapreduce-based algorithms described in recent papers written by academic and industrial researchers. Included areas: AI/Machine Learning, Bioinformatics, Information Retrieval. Focus will be on patterns of problems and the corresponding mapreduce solution patterns. Some background material: http://mapreducepatterns.org