Browsing Computer Science by Title
Now showing items 269-288 of 549
-
Improved homographic adaptation for keypoint generation in cross-spectral registration of thermal and optical imagery
(SPIE, 2023)Autonomous navigation is an important area of research for aerial vehicles. Visual odometry and simultaneous localization and mapping algorithms are critical for the three-dimensional understanding of the environment. For ... -
Improving automatic emotion recognition from speech signals
(International Speech Communications Association, 2009)We present a speech signal driven emotion recognition system. Our system is trained and tested with the INTERSPEECH 2009 Emotion Challenge corpus, which includes spontaneous and emotionally rich recordings. The challenge ... -
Improving models for model-based testing based on exploratory testing
(IEEE, 2014)Model-based testing facilitates automatic generation of test cases by means of models of the system under test. Correctness and completeness of these models determine the effectiveness of the generated test cases. Critical ... -
Improving models for model-based testing based on exploratory testing
(2014-08)Model bazlı test, test edilen sistemin modelleri sayesinde otomatik olarak test senaryoları oluşturulmasını sağlar. Bu modellerin doğruluğu ve tamlığı oluşturulan test senaryolarının etkinliğini belirler. Genelde manuel ... -
Improving regression performance on monocular 3D object detection using bin-mixing and sparse voxel data
(IEEE, 2021)Accurate and fast 3D object detection plays a role of paramount importance for safe and capable autonomous machines. LiDAR point cloud based methods have demonstrated impressive results, yet expensive LiDAR sensors make ... -
Improving server and client-side algorithms for adaptive streaming of non-immersive and immersive media
(The ACM Digital Library,, 2021)HTTP adaptive streaming is a technique widely used in the internet today to stream live and on-demand content. Server and client-side algorithms play an important role in achieving a better user experience in terms of ... -
An in-depth look at prior art in fast round-robin arbiter circuits
(Özyeğin University, 08.01.2011)Arbiters are found where shared resources exist such as busses, switching fabrics, processing elements. Round-robin is a fair arbitration method, where requestors get near-equal shares of a common resource or service. ... -
Increasing test efficiency by risk-driven model-based testing
(Elsevier, 2018-10)We introduce an approach and a tool, RIMA, for adapting test models used for model-based testing to augment information regarding failure risk. We represent test models in the form of Markov chains. These models comprise ... -
Incremental analysis of large-scale system logs for anomaly detection
(IEEE, 2019)Anomalies during system execution can be detected by automated analysis of logs generated by the system. However, large scale systems can generate tens of millions of lines of logs within days. Centralized implementations ... -
Inference management, trust and obfuscation principles for quality of information in emerging pervasive environments
(Elsevier, 2014-04)The emergence of large scale, distributed, sensor-enabled, machine-to-machine pervasive applications necessitates engaging with providers of information on demand to collect the information, of varying quality levels, to ... -
Inferring cost functions using reward parameter search and policy gradient reinforcement learning
(IEEE, 2021)This study focuses on inferring cost functions of obtained movement data using reward parameter search and policy gradient based Reinforcement Learning (RL). The behavior data for this task is obtained through a series of ... -
Inferring human values for safe AGI design
(Springer International Publishing, 2015)Aligning goals of superintelligent machines with human values is one of the ways to pursue safety in AGI systems. To achieve this, it is first necessary to learn what human values are. However, human values are incredibly ... -
InfraGAN: A GAN architecture to transfer visible images to infrared domain
(Elsevier, 2022-03)Utilizing both visible and infrared (IR) images in various deep learning based computer vision tasks has been a recent trend. Consequently, datasets having both visible and IR image pairs are desired in many applications. ... -
Instagram filter removal on fashionable images
(IEEE, 2021-06)Social media images are generally transformed by filtering to obtain aesthetically more pleasing appearances. However, CNNs generally fail to interpret both the image and its filtered version as the same in the visual ... -
Integrated static code analysis and runtime verification
(Wiley, 2015-10)Static code analysis tools automatically generate alerts for potential software faults that can lead to failures. However, these tools usually generate a very large number of alerts, some of which are subject to false ... -
Interest-based negotiation for policy-regulated asset sharing
(Springer Nature, 2016)Resources sharing is an important but complex problem to be solved. The problem is exacerbated in a coalition context due to policy constraints, that reflect concerns regarding security, privacy and performance to name a ... -
Interplay between neural computational energy and multimodal processing in robot-robot interaction
(IEEE, 2023)Multimodal learning is an active research area that is gaining importance in human-robot interaction. Despite the obvious benefit of levering multiple sensors for perceiving the world, its neural computational cost has not ... -
Interpretability of deep learning models: a survey of results
(IEEE, 2018-06-26)Deep neural networks have achieved near-human accuracy levels in various types of classification and prediction tasks including images, text, speech, and video data. However, the networks continue to be treated mostly as ... -
INTERSPEECH 2009 duygu tanıma yarışması değerlendirmesi
(IEEE, 2010)Bu makalede INTERSPEECH 2009 Duygu Tanıma Yarışması sonuçlarını değerlendiriyoruz. Yarışmanın sunduğu problem doğal ve duygu bakımından zengin FAU Aibo konuşma kayıtlarının beş ve iki duygu sınıfına en doğru şekilde ... -
Introducing StarDust: A UD-based Dependency Annotation Tool
(European Language Resources Association (ELRA), 2022)This paper aims to introduce StarDust, a new, open-source annotation tool designed for NLP studies. StarDust is designed specifically to be intuitive and simple for the annotators while also supporting the annotation of ...
Share this page
