625 citations · 1.2k across the 22 of their papers we have counts for
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Iterative Bounding Box Annotation for Object Detection
Bishwo Adhikari, Heikki Huttunen
Manual annotation of bounding boxes for object detection in digital images is tedious, and time and resource consuming. In this paper, we propose a semi-automatic method for effici…
Bayesian Receiver Operating Characteristic Metric for Linear Classifiers
Syeda Sakira Hassan, Heikki Huttunen, Jari Niemi +1
We propose a novel classifier accuracy metric: the Bayesian Area Under the Receiver Operating Characteristic Curve (CBAUC). The method estimates the area under the ROC curve and is…
Surface Type Classification for Autonomous Robot Indoor Navigation
Francesco Lomio, Erjon Skenderi, Damoon Mohamadi +3
In this work we describe the preparation of a time series dataset of inertial measurements for determining the surface type under a wheeled robot. The data consists of over 7600 la…
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning
Oguzhan Gencoglu, Mark van Gils, Esin Guldogan +5
Recent advancements in machine learning research, i.e., deep learning, introduced methods that excel conventional algorithms as well as humans in several complex tasks, ranging fro…
Binarized Convolutional Neural Networks for Efficient Inference on GPUs
Mir Khan, Heikki Huttunen, Jani Boutellier
Convolutional neural networks have recently achieved significant breakthroughs in various image classification tasks. However, they are computationally expensive,which can make the…
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
Emre Çakır, Giambattista Parascandolo, Toni Heittola +2
Sound events often occur in unstructured environments where they exhibit wide variations in their frequency content and temporal structure. Convolutional neural networks (CNN) are…