The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities of information fusion in signal and image processing, as well as covering the main numerical methods
We present a method to automatically generate a concise s u m m a r y by identifying and synthesizing similar elements across related text from a set of multiple documents. Our approach is unique in its usage of language generation to reformulate the wording of the summary. Information overload has created an acute need for summarization. Typically, the same information is described by many different online documents.
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Multimodality Inferring of Human Cognitive States Based on Integration of Neuro-Fuzzy Network and Information Fusion Techniques
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Detection and Separation of Speech Event Using Audio and Video Information Fusion and Its Application to Robust Speech Interface
Non-verbal modalities such as gesture can improve processing of spontaneous spoken language. For example, similar hand gestures tend to predict semantic similarity, so features that quantify gestural similarity can improve semantic tasks such as coreference resolution. However, not all hand movements are informative gestures; psychological research has shown that speakers are more likely to gesture meaningfully when their speech is ambiguous.
In this paper, we examine the task of extracting a set of biographic facts about target individuals from a collection of Web pages. We automatically annotate training text with positive and negative examples of fact extractions and train Rote, Na¨ve Bayes, ı and Conditional Random Field extraction models for fact extraction from individual Web pages. We then propose and evaluate methods for fusing the extracted information across documents to return a consensus answer.
In recent years, significant attention has focused on multisensor data fusion for both military and
nonmilitary applications. Data fusion techniques combine data from multiple sensors and related information to achieve more specific inferences than could be achieved by using a single, independent sensor.
As seen in this example, symbol recognition (e.g., reading) is clearly a perceptual process. It is a form
of context-sensitive model-based processing. The converse process, that of representing perceptions
symbolically for purpose of recording or communicating them, produces a physical product — text, sounds, etc. Such physical products must be interpreted as symbols before their informational content can be accessed
Data fusion is a research area that is growing rapidly due to the fact that it provides
means for combining pieces of information coming from different sources/sensors, resulting
in ameliorated overall system performance (improved decision making, increased detection
capabilities, diminished number of false alarms, improved reliability in various situations at
hand) with respect to separate sensors/sources.
Image registration is the process of spatially aligning two or more images of a scene.
This basic capability is needed in various image analysis applications. The alignment
process will determine the correspondence between points in the images, enabling
the fusion of information in the images and the determination of scene changes.
If identities of objects in one of the images are known, by registering the images,
identities of objects and their locations in another image can be determined.
The idea of this book on Sensor fusion and its Applications comes as a response to the immense
interest and strong activities in the field of sensor fusion. Sensor fusion represents a topic of
interest from both theoretical and practical perspectives.
The technology of sensor fusion combines pieces of information coming from different
sources/sensors, resulting in an enhanced overall system performance with respect to
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Novel Data Fusion Method and Exploration of Multiple Information Sources for
To investigate the contributions of taggers or chunkers to the performance of a deep syntactic parser, Weighted Constraint Dependency Grammars have been extended to also take into consideration information from external sources. Using a weak information fusion scheme based on constraint optimization techniques, a parsing accuracy has been achieved which is comparable to other (stochastic) parsers.
Until relatively recent times, most periods of technological development have been linked to
changes in the use of materials (eg the stone, bronze and iron ages). In more recent years the
driving force for technological change in many respects has shifted towards information
technology. This is amply illustrated by the way the humble microprocessor has built
intelligence into everyday domestic appliances.
The fusion of computer and telecommunication technologies has heralded the age of information superhighway over wireline and wireless networks. Mobile cellular communication systems and wireless networking technologies are growing at an ever-faster rate, and this is likely to continue in the foreseeable future. Wireless technology is presently being used to link portable computer equipment to corporate distributed computing and other sources of necessary information.
Understanding the forces that influence natural variation within and among populations
has been a major objective of evolutionary biology for decades (Csilléry et al., 2010). It can
be problematic, as natural populations may have complex demographic histories: size and
range changes over time can lead to bottlenecks, fusions and expansions that leave
signatures on the genetic composition of the population (Avise, 2004). Detection and
analysis of genetic diversity can help us to understand the molecular basis of various
biological phenomena in these natural systems.
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Multimodal dialogue systems allow users to input information in multiple modalities. These systems can handle simultaneous or sequential composite multimodal input. Different coordination schemes require such systems to capture, collect and integrate user input in different modalities, and then respond to a joint interpretation. We performed a study to understand the variability of input in multimodal dialogue systems and to evaluate methods to perform the collection of input information.