Adaptive neural-fuzzy inference system (ANFIS) is envisioned in the implement of a multifactor authentication system through a technique of information *** identity attributes one from each of the grouping (pseudo met...
详细信息
Adaptive neural-fuzzy inference system (ANFIS) is envisioned in the implement of a multifactor authentication system through a technique of information *** identity attributes one from each of the grouping (pseudo metrics,device metrics and biometrics) are fused at the score *** ANFIS toolbox is used to construct a fuzzy inference system whose membership function parameters are adjusted using a combination of backpropagation algorithm and a least squares type of *** identity attributes metrics used in the ANFIS fusion system are composed by term weight,a text mining technique.
Segmentation of brain structures from MR images is crucial in understanding the disease progress, diagnosis, and treatment monitoring. Atlases, showing the expected locations of the structures, are commonly used to st...
详细信息
Segmentation of brain structures from MR images is crucial in understanding the disease progress, diagnosis, and treatment monitoring. Atlases, showing the expected locations of the structures, are commonly used to st...
详细信息
ISBN:
(纸本)9781424475421
Segmentation of brain structures from MR images is crucial in understanding the disease progress, diagnosis, and treatment monitoring. Atlases, showing the expected locations of the structures, are commonly used to start and guide the segmentation process. In many cases, the quality of the atlas may have a significant effect in the final result. In the literature, commonly used atlases may be obtained from one subject's data, only from the healthy, or depict only certain structures that limit their accuracy. Anatomical variations, pathologies, imaging artifacts all could aggravate the problems related to application of atlases. In this paper, we propose to use multiple atlases that are sufficiently different from each other as much as possible to handle such problems. To this effect, we have built a library of atlases and computed their similarity values to each other. Our study showed that the existing atlases have varying levels of similarity for different structures.
This paper presents a novel user interaction concept for document image scanning with mobile phones. A high resolution mosaic image is constructed in two main stages. Firstly, online camera motion estimation is applie...
详细信息
This paper presents a novel user interaction concept for document image scanning with mobile phones. A high resolution mosaic image is constructed in two main stages. Firstly, online camera motion estimation is applied to the phone to assist the user to capture small image patches of the document page. Automatic image stitching process with the help of estimated device motion is carried out to reconstruct the full view of the document. Experiments on document images captured and processed with mosaicing software clearly show the feasibility of the approach.
Much is known about the design of automated systems to search broadcast news, but it has only recently become possible to apply similar techniques to large collections of spontaneous speech. This paper presents initia...
详细信息
Much is known about the design of automated systems to search broadcast news, but it has only recently become possible to apply similar techniques to large collections of spontaneous speech. This paper presents initial results from experiments with speech recognition, topic segmentation, topic categorization, and named entity detection using a large collection of recorded oral histories. The work leverages a massive manual annotation effort on 10 000 h of spontaneous speech to evaluate the degree to which automatic speech recognition (ASR)-based segmentation and categorization techniques can be adapted to approximate decisions made by human annotators. ASR word error rates near 40% were achieved for both English and Czech for heavily accented, emotional and elderly spontaneous speech based on 65-84 h of transcribed speech. Topical segmentation based on shifts in the recognized English vocabulary resulted in 80% agreement with manually annotated boundary positions at a 0.35 false alarm rate. Categorization was considerably more challenging, with a nearest-neighbor technique yielding F = 0.3. This is less than half the value obtained by the same technique on a standard newswire categorization benchmark, but replication on human-transcribed interviews showed that ASR errors explain little of that difference. The paper concludes with a description of how these capabilities could be used together to search large collections of recorded oral histories.
We are investigating computational models for human-computer interaction based on a uniform, declarative, knowledge representation. We describe a new implementation of our work called Equuleus, a system for interactiv...
详细信息
We are investigating computational models for human-computer interaction based on a uniform, declarative, knowledge representation. We describe a new implementation of our work called Equuleus, a system for interactive, adaptive, document presentation. Equuleus achieves this by using annotated descriptions of a document to be presented and a planner to plan the document's presentation. All presentation occurs as a result of planning and re-planning presentation goals.
暂无评论