Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Information-hiding techniques have recently become important in a number of application areas. Digital audio, video, and pictures are increasingly furnished with distinguishing but imperceptible marks, which may contain a hidden copyright notice or serial number or even help to prevent unauthorized copying directly. Military communications systems make increasing use of traffic security techniques which, rather than merely concealing the content of a message using encryption, seek to conceal its sender, its receiver, or its very existence. Similar techniques are used in some mobile phone systems and schemes proposed for digital elections. Criminals try to use whatever traffic security properties are provided intentionally or otherwise in the available communications systems, and police forces try to restrict their use. However, many of the techniques proposed in this young and rapidly evolving field can trace their history back to antiquity, and many of them are surprisingly easy to circumvent. In this article, we try to give an overview of the field, of what we know, what works, what does not, and what are the interesting topics for research.

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Information hiding-a survey

Stable non-Gaussian random processes , by G. Samorodnitsky and M. S. Taqqu. Pp. 632. £49.50. 1994. ISBN 0-412-05171-0 (Chapman and Hall).

The objective of this paper is to give a comprehensive introduction to applied cryptography with an engineer or computer scientist in mind. The emphasis is on the knowledge needed to create practical systems which supports integrity, confidentiality, or authenticity. Topics covered includes an introduction to the concepts in cryptography, attacks against cryptographic systems, key use and handling, random bit generation, encryption modes, and message authentication codes. Recommendations on algorithms and further reading is given in the end of the paper. This paper should make the reader able to build, understand and evaluate system descriptions and designs based on the cryptographic components described in the paper.

[서평]「Applied Cryptography」

This article reviews the requirements for successful compressed sensing (CS), describes their natural fit to MRI, and gives examples of four interesting applications of CS in MRI. The authors emphasize on an intuitive understanding of CS by describing the CS reconstruction as a process of interference cancellation. There is also an emphasis on the understanding of the driving factors in applications, including limitations imposed by MRI hardware, by the characteristics of different types of images, and by clinical concerns.

/pdf/compressed-sensing-mri-2wgw41cvre.pdf

Compressed Sensing MRI

This paper presents a novel method for 3D model similarity se arch based on a query-by-range-image approach. A technique for matching the salient features between the 3Dmodel and the range image is proposed, followed by fast and reliable hierarchical similarity search in the p arameter space. Experimental results are provided on a benchmarking database that show the very good performance o f the method.

A Novel Approach for Range Image to 3D Model Partial Matching

In this paper a novel payment system for Peer-to-Peer (P2P) commerce transactions is presented. It implements electronic cash-based transactions, between buyers and merchants. In this system, financial institutions become partners in the e-commerce transaction, conducted by their customers over the Internet. The innovation of the proposed system is the reduction of the involvement of the financial institutions to ancillary support services. Moreover, the proposed system can be characterized as distributed allocation of provinces to merchants, who are responsible for locally authorizing payments. Finally, it is optimized for repeated payments to the same merchants.

A novel peer-to-peer payment system

Optimal pyramidal and subband decompositions for the hierarchical representation of vector valued signals

Ultrasound imaging allows the evaluation of the degree of emergency of a patient. However, in many situations no experienced sonographer is available to perform such echography. To cope with this issue, the OTELO project ‘‘mObile Tele-Echography using an ultra-Light rObot’’ (OTELO) aims to develop a fully integrated end-to-end mobile tele-echography system using an ultralight, remotely controlled six degree-of-freedom (DOF) robot. In this context, this paper deals with the user interface environment of the OTELO system, composed by the following parts: an ultrasound video transmission system providing real-time images of the scanned area at each moment, an audio/video conference to communicate with the paramedical assistant and the patient, and finally a virtual reality environment, providing visual and haptic feedback to the expert, while capturing the expert’s hand movements with a one-DOF hand free input device.

/pdf/a-user-interface-for-mobile-robotized-tele-echography-3bkk8gyjjj.pdf

A user interface for mobile robotized tele-echography

The paper investigates the design of filter banks generating the optimal signal representation by M-band one-dimensional and multi-dimensional biorthogonal wavelet frames. Criterion of optimality is the minimization of the average mean-square approximation error at each level of the decomposition. Preliminary results of the application of such filter banks to two- dimensional image compression are included.© (1994) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Michael G. Strintzis

Papers

A Novel Approach for Range Image to 3D Model Partial Matching

A novel peer-to-peer payment system

Optimal pyramidal and subband decompositions for the hierarchical representation of vector valued signals

A user interface for mobile robotized tele-echography

Optimal biorthogonal wavelet analysis