Browsing by Keywords "Pattern recognition"
Now showing items 1-20 of 63
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Activity recognition invariant to sensor orientation with wearable motion sensors
(MDPI AG, 2017)Most activity recognition studies that employ wearable sensors assume that the sensors are attached at pre-determined positions and orientations that do not change over time. Since this is not the case in practice, it is ... -
Architectural sketch recognition
(1990)Sketch recognition is applied to freehand architectural drawings. The purpose is to recognize the architect’s intentions from a quick sketch and generate a detailed drawing. The system can also calibrate itself to interpret ... -
Automated detection and enhancement of microcalcifications in mammograms using nonlinear subband decomposition
(IEEE, 1997)In this paper, computer-aided detection and enhancement of microcalcifications in mammogram images are considered. The mammogram image is first decomposed into subimages using a `subband' decomposition filter bank which ... -
Automated evaluation of physical therapy exercises using multi-template dynamic time warping on wearable sensor signals
(Elsevier Ireland Ltd., 2014)We develop an autonomous system to detect and evaluate physical therapy exercises using wearable motion sensors. We propose the multi-template multi-match dynamic time warping (MTMM-DTW) algorithm as a natural extension ... -
BilKristal 2.0: a tool for pattern information extraction from crystal structures
(Elsevier BV, 2014-01)We present a revised version of the BilKristal tool of Okuyan et al. (2007). We converted the development environment into Microsoft Visual Studio 2005 in order to resolve compatibility issues. We added multi-core CPU ... -
BilKristal 4.0: A tool for crystal parameters extraction and defect quantification
(Elsevier, 2015)In this paper, we present a revised version of BilKristal 3.0 tool. Raycast screenshot functionality is added to provide improved visual analysis. We added atomic distance analysis functionality to assess crystalline ... -
Classification of leg motions by processing gyroscope signals
(IEEE, 2009)In this study, eight different leg motions are classified using two single-axis gyroscopes mounted on the right leg of a subject with the help of several pattern recognition techniques. The methods of least squares, Bayesian ... -
Classifying human leg motions with uniaxial piezoelectric gyroscopes
(2009)This paper provides a comparative study on the different techniques of classifying human leg motions that are performed using two low-cost uniaxial piezoelectric gyroscopes worn on the leg. A number of feature sets, extracted ... -
Comparative analysis of different approaches to target classification and localization with sonar
(IEEE, 2001-08)The comparison of different classification and fusion techniques was done for target classification and localization with sonar. Target localization performance of artificial neural networks (ANN) was found to be better ... -
Comparative analysis of different approaches to target differentiation and localization with sonar
(Elsevier, 2003)This study compares the performances of different methods for the differentiation and localization of commonly encountered features in indoor environments. Differentiation of such features is of interest for intelligent ... -
Detection and evaluation of physical therapy exercises by dynamic time warping using wearable motion sensor units
(Springer, 2014)We develop an autonomous system that detects and evaluates physical therapy exercises using wearable motion sensors. We propose an algorithm that detects all the occurrences of one or more template signals (representing ... -
Detection of tree trunks as visual landmarks in outdoor environments
(Bilkent University, 2010)One of the basic problems to be addressed for a robot navigating in an outdoor environment is the tracking of its position and state. A fundamental first step in using algorithms for solving this problem, such as various ... -
Differences in illumination estimation in #thedress
(Association for Research in Vision and Ophthalmology Inc., 2017)We investigated whether people who report different colors for #thedress do so because they have different assumptions about the illumination in #thedress scene. We introduced a spherical illumination probe (Koenderink, ... -
FAME: Face association through model evolution
(IEEE, 2015-06)We attack the problem of building classifiers for public faces from web images collected through querying a name. The search results are very noisy even after face detection, with several irrelevant faces corresponding to ... -
Farklı yapay sinir ağı temelli sınıflandırıcılar ile insan hareketi tanımlama
(IEEE, 2017-05)İnsan Hareketi Tanımlanması, taşıdığı önem ve sınırlı öznitelik vektörü ile yüksek sınıflandırma oranlarına ulaşmasında karşılaşılan zorluk nedeniyle popüler bir araştırma konusudur. Bireylerin hareket ölçülebilirliginin ... -
Fizik tedavi egzersizlerinin giyilebilir hareket algılayıcıları işaretlerinden dinamik zaman bükmesiyle sezimi ve değerlendirilmesi
(IEEE, 2014-04)Giyilebilir hareket algılayıcılarından kaydedilen sinyalleri işleyerek fizik tedavi egzersizlerini algılamak ve değerlendirmek için özerk bir sistem geliştirilmiştir. Bir fizik tedavi seansındaki bir ya da birden fazla ... -
Foreword to the special issue on pattern recognition in remote sensing
(Institute of Electrical and Electronics Engineers, 2012)The nine papers in this special issue focus on covering different aspects of remote sensing image analysis. -
GCap: Graph-based automatic image captioning
(IEEE, 2004)Given an image, how do we automatically assign keywords to it? In this paper, we propose a novel, graph-based approach (GCap) which outperforms previously reported methods for automatic image captioning. Moreover, it is ... -
Generalized texture models for detecting high-level structures in remotely sensed images
(Bilkent University, 2007)With the rapid increase in the amount and resolution of remotely sensed image data, automatic extraction and classification of information obtained from such images have been an important problem in the field of pattern ... -
Hierarchical segmentation of complex structures
(IEEE, 2010)We present an unsupervised hierarchical segmentation algorithm for detection of complex heterogeneous image structures that are comprised of simpler homogeneous primitive objects. An initial segmentation step produces ...
