we present real-time particle filters, which make use of all sensor information even when the filter update rate is below the update rate of the sensors.
In this paper, we present LOADED, an algorithm for outlier
detection in evolving data sets containing both continuous
and categorical attributes. LOADED is a tunable algorithm,
wherein one can trade off computation for accuracy so that
domain-specific response times are achieved. Experimental
results show that LOADED provides very good detection and
false positive rates, which are several times better than those
of existing distance-based schemes.
The purpose of this document is to present how to use the Timer for the generation of a PWM signal tunable in frequency and duty cycle. As an application example, this document is based on a basic “music” synthesizer through an external buzzer. Example code is also available in the it.
This methodical text aspires to present various information relevant to operating systems, computer architecture, compilers, principles of programming languages, and C and C++ programming, specifically.
The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.
-The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. Mutual Information is the similarity measure used in this case for optimizing the two images. This method requires estimating joint histogram of the two images. The fusion of images is the process of combining two or more images into a single image retaining important features from each. The Discrete Wavelet Transform (DWT) has become an attractive tool for fusing multimodal images. In this work it has been used to segment the features of the input images to produce a region map. Features of each region are calculated and a region based approach is used to fuse the images in the wavelet domain.
This code implements the arithmetic coding algorithm used for text compression. At present it takes an input of fixed length but that can be modified in the code as required.
The philosophy of the book is to present various pattern recognition tasks in
a unified way, including image analysis, speech processing, and communication applications. Despite their differences, these areas do share common features and their study can only benefit from a unified approach.
This present a primer for people who are unfamiliar with the Java language. This introduction is intended to allow you to develop the Java skills necessary to understand basic programs.
