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Image and Vision Computing has as a primary aim the provision of an effective medium of interchange for the results of high quality theoretical and applied research fundamental to all aspects of image interpretation and computer vision. The journal publishes work that proposes new image interpretation and computer vision methodology or addresses the application of such methods to real world scenes. It seeks to strengthen a deeper understanding in the discipline by encouraging the quantitative comparison and performance evaluation of the proposed methodology. The coverage includes: image interpretation, scene modelling, object recognition and tracking, shape analysis, monitoring and surveillance, active vision and robotic systems, SLAM, biologically-inspired computer vision, motion analysis, stereo vision, document image understanding, character and handwritten text recognition, face and gesture recognition, biometrics, vision-based human-computer interaction, human activity and behavior understanding, data fusion from multiple sensor inputs, image databases.In addition to regular manuscripts, Image and Vision Computing Journal solicits manuscripts for the Opinions Column, aimed at initiating a free forum for vision researchers to express their opinions on past, current, or future successes and challenges in research and the community.An opinion paper should be succinct and focused on a particular topic. Addressing multiple related topics is also possible if this helps making the point. While posing questions helps raising awareness about certain issues, ideally, an opinion paper should also suggest a concrete direction how to address the issues. Topics of interest include, but are not limited to:Comments on success and challenges in a (sub-) field of computer vision,Remarks on new frontiers in computer visionObservations on current practices and trends in research, and suggestions for overcoming unsatisfying aspectsObservations on current practices and trends in the community regarding, e.g., reviewing process, organizing conferences, how journals are run, and suggestions for overcoming unsatisfying aspectsReviews of early seminal work that may have fallen out of fashionSummaries of the evolution of one's line of researchRecommendations for educating new generations of vision researchers.The format of an opinion paper should comply with the existing formatting guidelines for the Image and Vision Computing Journal submissions, and should not exceed 2 pages.Months of publication: January/February, March, April, May, June, July/August, September, October, November and December.

Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. This journal is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications.The journal is a core vehicle for developing a generic research agenda for the field by identifying and developing the unique and significant aspects of information visualization. Emphasis is placed on interdisciplinary material and on the close connection between theory and practice.

Intelligent Data Analysis provides a forum for the examination of issues related to the research and applications of Artificial Intelligence techniques in data analysis across a variety of disciplines. These techniques include (but are not limited to): all areas of data visualization, data pre-processing (fusion, editing, transformation, filtering, sampling), data engineering, database mining techniques, tools and applications, use of domain knowledge in data analysis, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing. In particular, papers are preferred that discuss development of new AI related data analysis architectures, methodologies, and techniques and their applications to various domains.Papers published in this journal are geared heavily towards applications, with an anticipated split of 70% of the papers published being applications-oriented, research and the remaining 30% containing more theoretical research.

Biometrics and human biometric characteristics form the basis of research in biological measuring techniques for the purpose of people identification and recognition. IJBM addresses the fundamental areas in computer science that deal with biological measurements. It covers both the theoretical and practical aspects of human identification and verification.

IJCVR is an international refereed journal in the field of image processing, pattern recognition, machine vision and image understanding, providing an international forum for professionals, engineers and researchers.

NOW ACCEPTED BY ISI The International Journal for Computer Assisted Radiology and Surgery (IJCARS) is a peer-reviewed journal that provides a platform for closing the gap between medical and technical disciplines, and encourages interdisciplinary research and development activities in an international environment. The focus of the journal is on Research and Development of digital imaging methods and computer-assisted diagnostic and therapeutic workflows that match and enhance the skill levels of health care professionals. One goal of IJCARS is to provide information on new diagnostic and therapeutic processes which are facilitated by computer assisted radiology and surgery. This includes providers' experiences, patient outcomes, economic and ethical considerations, and scientific/medical validation results. It is expected that the resulting awareness by users and providers will accelerate the acceptance of CARS-supported procedures in clinical practice.

International Journal of Computer Vision (IJCV) details the science and engineering of this rapidly growing field. Regular articles present major technical advances of broad general interest. Short articles provide a fast publication path for novel research results. Survey articles offer critical reviews of the state of the art and/or tutorial presentations of pertinent topics. Coverage includes: - Mathematical, physical and computational aspects of computer vision: image formation, processing, analysis, and interpretation; machine learning techniques; statistical approaches; sensors. - Applications: image-based rendering, computer graphics, robotics, photo interpretation, image retrieval, video analysis and annotation, multi-media, and more. - Connections with human perception: computational and architectural aspects of human vision. The journal also features book reviews, position papers, editorials by leading scientific figures, as well as additional on-line material, such as still images, video sequences,

Announcement Starting in 2010, the International Journal of Imaging Systems and Technology will be focusing on the field of Neuroscience in a broad sense, including relevant algorithmic research and hardware and software development. Accordingly, the title will be changed to International Journal of Imaging Systems and Technology -Neuroimaging and Brain Mapping.

Cybernetics is concerned with describing complex interactions and interrelationships between systems which are omnipresent in our daily life. Machine Learning discovers fundamental functional relationships between variables and ensembles of variables in systems. The merging of the disciplines of Machine Learning and Cybernetics is aimed at the discovery of various forms of interaction between systems through diverse mechanisms of learning from data.

The International Journal of Machine Learning and Cybernetics (IJMLC) focuses on the key research problems emerging at the junction of machine learning and cybernetics and serves as a broad forum for rapid dissemination of the latest advancements in the area. The emphasis of IJMLC is on the hybrid development of machine learning and cybernetics schemes inspired by different contributing disciplines such as engineering, mathematics, cognitive sciences, and applications. New ideas, design alternatives, implementations and case studies pertaining to all the aspects of machine learning and cybernetics fall within the scope of the IJMLC.

Key research areas to be covered by the journal include:

Machine Learning for modeling interactions between systemsPattern Recognition technology to support  discovery of system-environment interactionControl of system-environment interactions Biochemical interaction in biological and biologically-inspired systemsLearning for improvement of communication schemes between systems 

This journal publishes both applications and theory-oriented articles on new developments in the fields of pattern recognition and artificial intelligence, and is of interest to both researchers in industry and academia. From the beginning, there has always been a close relationship between the disciplines of pattern recognition and artificial intelligence. The recognition and understanding of sensory data like speech or images, which are major concerns in pattern recognition, have always been considered as important subfields of artificial intelligence. On the other hand, topics like knowledge representation, inference, search or learning that belong to the center of artificial intelligence, have constantly attracted the attention of researchers working in pattern recognition. IJPRAI is the first to cover both fields in one periodical, and particular emphasis is put on papers which are in the intersection of both fields. However, it is open to articles from "pure" pattern recognition and "pure" artificial intelligence as well. * Contains current material on applications and theory research in: *Image Processing *Natural Language Processing * Computer Vision * Speech Understanding * Pattern Recognition * Robotics and Related Fields * Expert Systems * Artificial Intelligence * Knowledge Engineering * Neural Networks * Has special issues devoted to relevant and key areas in the field * Is a worthwhile investment for researchers/libraries concerned with research in industry or academia.

The International Journal of Speech Technology is a research journal that focuses on speech technology and its applications. It promotes research and description on all aspects of speech input and output, including theory, experiment, testing, base technology, applications.

The journal is an international forum for the dissemination of research related to the applications of speech technology as well as to the technology itself as it relates to real-world applications. Articles describing original work in all aspects of speech technology are included. Sample topics include but are not limited to the following: applications employing digitized speech, synthesized speech or automatic speech recognition
technological issues of speech input or output
human factors, intelligent interfaces, robust applications
integration of aspects of artificial intelligence and natural language processing
international and local language implementations of speech synthesis and recognition
development of new algorithms
interface description techniques, tools and languages
testing of intelligibility, naturalness and accuracy
computational issues in speech technology
software development tools
speech-enabled robotics
speech technology as a diagnostic tool for treating language disorders
voice technology for managing serious laryngeal disabilities
the use of speech in multimedia
This is the only journal which presents papers on both the base technology and theory as well as all varieties of applications. It encompasses all aspects of the three major technologies: text-to-speech synthesis, automatic speech recognition and stored (digitized) speech.

Sponsored by the International Association for Pattern Recognition, this journal is focused on publishing articles that cover all areas related to document analysis and recognition. This includes contributions dealing with computer recognition of characters, symbols, text, lines, graphics, images, handwriting, signatures, as well as automatic analyses of the overall physical and logical structures of documents, with the ultimate objective of a high-level understanding of their semantic content. The International Journal on Document Analysis and Recognition (IJDAR) publishes articles of four primary types: original research papers, correspondence, overviews and summaries, and system descriptions. It also features special issues on active areas of research. Currently indexed in:Academic Search Alumni Edition, Academic Search Complete, Academic Search Premier, Bibliography of Linguistic Literature, Compendex, Compuscience, Computer Science Index, Current Abstracts, Current Contents/Engineering, Computing, and Te