Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 20 for “"hand crafted features"”.
-
DEVELOPING MEDICAL IMAGE SEGMENTATION AND COMPUTER-AIDED DIAGNOSIS SYSTEMS USING DEEP NEURAL NETWORKS
… images. Traditional CAD schemes are based on hand-crafted features and shallow supervised learning algorithms. They are greatly limited by the difficulties of accurate region segmentation and effective feature extraction. In this dissertation, our motivation is to apply deep learning …
-
Visual feature learning with application to medical image classification
Various hand-crafted features have been explored for medical image classification, which include SIFT and Local Binary Patterns (LBP). However, hand-crafted features may not be optimally discriminative for classifying images from particular domains (e.g. colonoscopy), as not necessarily tuned to …
-
Achieving real-time video summarization on commodity hardware
… the assistance of highly efficient low-level features. A numerical score is then assigned to each segment by our model trained using a set of highperformance hand-crafted features. Finally, segments are selected based on their score to generate a final video summary. On our benchmark dataset, …
-
Identifying facial landmarks, action units and emotions using deep networks
… while doing so. Learning the different features of facial images has always been a difficult task and primarily involves using hand-crafted features which would almost definitely ignore some information related to the different dynamics of facial features. We train our network model …
-
Novel feature construction technique for detecting anomalous faces and evaluating style transfer methods
… careful design and evaluation of deep-learned features are still necessary like hand-crafted features for computer vision tasks. We demonstrate this in two different domain problems – Anomaly Detection and Style Transfer. We present feature aggregation techniques and also quantitative …
-
How deep learning can help emotion recognition
… system either through pre-specified rules or hand-crafted features. However, in the last few years, learned feature representations have experienced a resurgence mainly due to the success of deep neural networks. In this dissertation, we highlight how deep neural networks, when applied to …
-
Machine learning applications in plant identification, wireless channel estimation, and gain estimation for multi-user software-defined radio
… images are developed. One of the methods uses hand-crafted features extracted from leaf images to train a support vector machine classifier. The other method combines five publicly available leaf datasets: Flavia, Folio, LeafSnap, Swedish, and Middle European Woods 2014, to create a new data …
-
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data
… have proposed mode inference models based on hand-crafted features, which might be vulnerable to traffic and environmental conditions. Furthermore, the classification task in almost all models have been performed in a supervised fashion while a large amount of unlabeled GPS trajectories has …
-
Machine Learning Methods for Medical and Biological Image Computing
… The current study of computational methods using hand-crafted features does not scale with the increasing number of brain images, hindering the pace of scientific discoveries in neuroscience. In this thesis, I propose computational methods using high-level features for automated analysis of brain …
-
Digital Holographic Microscopy for High-throughput Analysis of Tumour Cells
… samples. By analysing and interpreting different features of organoids, cancer-specific signatures are identified. In this thesis, a number of novel contributions are reported. A model-based object presence detection approach exploiting information extracted from a CNN is reported. CNNs are …
-
Graph-based Approach for Anomaly Detection in Video Surveillance
… present in the scene. This method utilizes hand-crafted features as well as graphs properties to extract useful information from video sequences. The second part presents an offline framework that uses a one-class classifier to model normal activities represented by spatiotemporal features …
-
Automated Building Extraction from Remote Sensing Imagery Using Deep Learning
… building polygon extraction process requires hand-crafted features and high human intervention, which is time-consuming and often has limited generalization capability. In recent years, deep learning-based methods have shed light on the problem with higher levels of automation, segmentation …
-
Research on Object Tracking Technology for Orderless and Blurred Movement under Complex Scenes
… is designed to provide supplementary appearance features. A robust similarity measure is proposed to address the outliers caused by motion blurs. Our approach outperforms other approaches in a public benchmark database with motion blurs. (3) An ensemble framework is designed to tackle scale …
-
Image Co-saliency Detection and Co-segmentation from The Perspective of Commonalities
… Usually, common objects share similar low-level features, such as appearances, including colours, textures shapes, etc. as well as the high-level semantic features. In this thesis, we explore the commonalities of the common objects in a group of images from low-level features and high-level …
-
An Investigation into the Performance of Ethnicity Verification Between Humans and Machine Learning Algorithms
… two-tier (computer vs human) approach. Firstly, hand-crafted features were used to ascertain the descriptive nature of a frontal-image and facial profile, for the Pakistani ethnicity. A total of 26 facial landmarks were selected (16 frontal and 10 for the profile) and by incorporating 2 models …
-
An Investigation into the Performance of Ethnicity Verification Between Humans and Machine Learning Algorithms
… two-tier (computer vs human) approach. Firstly, hand-crafted features were used to ascertain the descriptive nature of a frontal-image and facial profile, for the Pakistani ethnicity. A total of 26 facial landmarks were selected (16 frontal and 10 for the profile) and by incorporating 2 models …
-
Pre-hoc and Post-hoc Diagnosis and Interpretation of Breast Magnetic Resonance Volumes
… for ROIs and the employment of non-optimal hand-crafted features in both stages. These issues have been partially addressed with the introduction of deep learning methods that unfortunately need large strongly annotated training datasets (voxel-wise labelling of each lesion), which tend to …
-
Deep neural network models for image classification and regression
… latter are designed/tailored to the problem at hand. This, thereby, raises not only precision concerns but also processing overheads. The success and applicability of a deep learning system relies jointly on both components. In this dissertation, we present innovative deep learning schemes, with …
-
Towards a Fast and Accurate Face Recognition System from Deep Representations
… followed by classification or regression. The features representing the input data should have the following desirable properties: 1) they should contain the discriminative information required for accurate classification, 2) they should be robust and adaptive to several variations in the input …
-
Re-identification and semantic retrieval of pedestrians in video surveillance scenarios
Person re-identification consists of recognizing individuals across different sensors of a camera network. Whereas clothing appearance cues are widely used, other modalities could be exploited as additional information sources, like anthropometric measures and gait. In this work we investigate …