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Acoustic Scene Classification Using Spatial Pyramid Pooling With Convolutional Neural Networks
(2019)
Automatic understanding of audio events and acoustic scenes has been an active research topic for researchers from signal processing and machine learning communities. Recognition of acoustic scenes in the real life scenarios ...
Sketch recognition using transfer learning
(2019)
Humans have an excellent ability to recognize freehand sketch drawings despite their abstract and sparse structures. Understanding freehand sketches with automated methods is a challenging task due to the diversity and ...
Early and Late Level Fusion of Deep Convolutional Neural Networks for Visual Concept Recognition
(2016)
Visual concept recognition is an active research field in the last decade. Related to this attention, deep learning architectures are showing great promise in various computer vision domains including image classification, ...
Multimodal Video Concept Classification based on Convolutional Neural Network and Audio Feature Combination
(2017)
Video concept classification is a very important task for several applications such as content based video indexing and searching In this study, we propose a multi-modal video classification method based on the feature-level ...
Sentiment Analysis on Microblog Data based on Word Embedding and Fusion Techniques
(2017)
People often use social platforms to state their views and desires. Twitter is one of the most popular microblog service used for this purpose. In this study, we propose a new approach for automatically classifying the ...
Facial Action Unit Detection using Variable Decision Thresholds
(2016)
Detection of facial action units (AUs) is an important research field for recognizing emotional states in facial expressions. Here, we propose a novel, yet effective method, that utilizes variable decision thresholds at ...
Efficient Bag of Words Based Concept Extraction for Visual Object Retrieval
(2016)
Recent burst of multimedia content available on Internet is pushing expectations on multimedia retrieval systems to even higher grounds. Multimedia retrieval systems should offer better performance both in terms of speed ...
Feature-level Fusion of Convolutional Neural Networks for Visual Object Classification
(2016)
Deep learning architectures have shown great success in various computer vision applications. In this study, we investigate some of the very popular convolutional neural network (CNN) architectures, namely GoogleNet, ...
The Effectiveness of Feature Selection Methods on Physical Activity Recognition
(2018)
For the definition of physical activity monitoring with long activity times can be costly and there is a need for efficient computer based algorithms. Smartphone sensors such as accelerometer, magnetometer, and gyroscope ...
Multimodal Classification of Obstructive Sleep Apnea using Feature Level Fusion
(2017)
Obstructive sleep apnea (OSA) is a sleep disorder with long-term consequences. Long-term effects include sleep related issues and cardiovascular diseases. OSA is often diagnosed with an overnight sleep test called a ...