Mean shift: An information theoretic perspective

An Information-Theoretic Discussion of Convolutional Bottleneck Features for Robust Speech Recognition

Convolutional Neural Networks (CNNs) have been shown their performance in speech recognition systems for extracting features, and also acoustic modeling. In addition, CNNs have been used for robust speech recognition and competitive results have been reported. Convolutive Bottleneck Network (CBN) is a kind of CNNs which has a bottleneck layer among its fully connected layers. The bottleneck fea...

Semi-intrinsic Mean Shift on Riemannian Manifolds

The original mean shift algorithm [1] on Euclidean spaces (MS) was extended in [2] to operate on general Riemannian manifolds. This extension is extrinsic (Ext-MS) since the mode seeking is performed on the tangent spaces [3], where the underlying curvature is not fully considered (tangent spaces are only valid in a small neighborhood). In [3] was proposed an intrinsic mean shift designed to op...

Perspective of Pediatric Nurses about Missed Nursing Care and Related Factors

Introduction: Pediatric nursing care is different from adult nursing care because nurses are responsible for caring for children in a wide range of development and must also care for the sick child's family, so the occurrence of lost care in the department Children can have profound effects.The present study aims to determine the views of pediatric nurses about missed nursing care and factors r...

The Effect of Grammar vs. Vocabulary Pre-teaching on EFL Learners’ Reading Comprehension: A Schema-Theoretic View of Reading

This study was designed to investigate the effect of grammar and vocabulary pre-teaching, as two types of pre-reading activities, on the Iranian EFL learners’ reading comprehension from a schema–theoretic perspective. The sample consisted of 90 female students studying at pre-university centers of Isfahan.  The subjects were randomly divided into three equal-in-number groups. They participated ...

Modeling and analysis of the performance of collaborative wireless ad-hoc networks: an information-theoretic perspective