Yayın tarihi için MF - Bildiri Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering listeleme
Toplam kayıt 113, listelenen: 21-40
-
A robust localization framework to handle noisy measurements in wireless sensor networks
(IEEE, 2009-09-14)We construct a robust localization framework to handle noisy measurements in wireless sensor networks. Traditionally many approaches employ the distance information gathered from ranging devices of the sensor nodes to ... -
An incremental model selection algorithm based on cross-validation for finding the architecture of a Hidden Markov model on hand gesture data sets
(IEEE, 2009-12-13)In a multi-parameter learning problem, besides choosing the architecture of the learner, there is the problem of finding the optimal parameters to get maximum performance. When the number of parameters to be tuned increases, ... -
Feature extraction from discrete attributes
(IEEE, 2010)In many pattern recognition applications, first decision trees are used due to their simplicity and easily interpretable nature. In this paper, we extract new features by combining k discrete attributes, where for each ... -
Univariate margin tree
(Springer, 2010)In many pattern recognition applications, first decision trees are used due to their simplicity and easily interpretable nature. In this paper, we propose a new decision tree learning algorithm called univariate margin ... -
Mixture of Gaussian models and bayes error under differential privacy
(2011)Gaussian mixture models are an important tool in Bayesian decision theory. In this study, we focus on building such models over statistical database protected under differential privacy. Our approach involves querying ... -
Multivariate statistical tests for comparing classification algorithms
(Springer, Berlin, Heidelberg, 2011)The misclassification error which is usually used in tests to compare classification algorithms, does not make a distinction between the sources of error, namely, false positives and false negatives. Instead of summing ... -
On the VC-dimension of univariate decision trees
(2012)In this paper, we give and prove lower bounds of the VC-dimension of the univariate decision tree hypothesis class. The VC-dimension of the univariate decision tree depends on the VC-dimension values of its subtrees and ... -
Palmprint verification using SIFT majority voting
(Springer-Verlag, 2012)In this paper we illustrate the implementation of a robust, real-time biometric system for identity verification based on palmprint images. The palmprint images are preprocessed to align the major axes of hand shapes and ... -
Unsupervised morphological analysis using tries
(Springer London, 2012)This article presents an unsupervised morphological analysis algorithm to segment words into roots and affixes. The algorithm relies on word occurrences in a given dataset. Target languages are English, Finnish, and Turkish, ... -
Semi-automatic adaptation of high-polygon wireframe face models through inverse perspective projection
(Springer-Verlag, 2012)Precise registration of a generic 3D face model with a subject's face is a critical stage for model based analysis of facial expressions. In this study we propose a semi-automatic model fitting algorithm to fit a high-polygon ... -
Numerical integration methods for simulation of mass-spring-damper systems
(Springer-Verlag, 2012)The dynamics of a face are often implemented as a system of connected particles with various forces acting upon them. Animation of such a system requires the approximation of velocity and position of each particle through ... -
A novel approach to morphological disambiguation for Turkish
(Springer-Verlag, 2012)In this paper, we propose a classification based approach to the morphological disambiguation for Turkish language. Due to complex morphology in Turkish, any word can get unlimited number of affixes resulting very large ... -
Soft decision trees
(IEEE, 2012)We discuss a novel decision tree architecture with soft decisions at the internal nodes where we choose both children with probabilities given by a sigmoid gating function. Our algorithm is incremental where new nodes are ... -
İngi̇li̇zce-Türkçe i̇stati̇sti̇ksel maki̇ne çevi̇ri̇si̇nde bi̇çi̇m bi̇li̇m kullanımı
(IEEE, 2012-04-18)Bu çalışmada, İngilizce-Türkçe dil ikilisi için biçimbilimsel çözümleme yardımı ile SIU dermecesi üzerinde istatistiksel makine çevirisi denemeleri yapılmıştır. Kelime biçimlerinin baz alındığı çeviri denemeleri İngilizce-Türkçe ... -
Adaptive visual obstacle detection for mobile robots using monocular camera and ultrasonic sensor
(Springer-Verlag, 2012-10-07)This paper presents a novel vision based obstacle detection algorithm that is adapted from a powerful background subtraction algorithm: ViBe (VIsual Background Extractor). We describe an adaptive obstacle detection method ... -
Texture recognition for frog identification
(ACM SIGMM, 2012-11-02)This paper describes a visual processing technique for automatic frog (Xenopus Laevis sp.) localization and identification. The problem of frog identification is to process and classify an unknown frog image to determine ... -
Demo abstract: TeleHealth - Intelligent healthcare with M2M communication module
(ACM, 2012-11-06)Chronic diseases, such as diabetes, heart disease (e.g. arrhythmia and hypertension), chronic respiratory diseases (e.g. asthma and COPD), are by far the leading cause of mortality in the world, representing 63% of all ... -
Searching for the optimal ordering of classes in rule induction
(IEEE, 2012-11-15)Rule induction algorithms such as Ripper, solve a K > 2 class problem by converting it into a sequence of K - 1 two-class problems. As a usual heuristic, the classes are fed into the algorithm in the order of increasing ... -
Statistical tests using hinge/ε-sensitive loss
(Springer-Verlag, 2013)Statistical tests used in the literature to compare algorithms use the misclassification error which is based on the 0/1 loss and square loss for regression. Kernel-based, support vector machine classifiers (regressors) ... -
Efficient privacy-aware record integration
(2013)The integration of information dispersed among multiple repositories is a crucial step for accurate data analysis in various domains. In support of this goal, it is critical to devise procedures for identifying similar ...