Browsing by Keywords "Convolutional neural network"
Now showing items 1-6 of 6
-
Applying deep learning in augmented reality tracking
(IEEE, 2016-11-12)An existing deep learning architecture has been adapted to solve the detection problem in camera-based tracking for augmented reality (AR). A known target, in this case a planar object, is rendered under various viewing ... -
Automated cancer stem cell recognition in H and E stained tissue using convolutional neural networks and color deconvolution
(SPIE, 2017)The analysis and interpretation of histopathological samples and images is an important discipline in the diagnosis of various diseases, especially cancer. An important factor in prognosis and treatment with the aim of a ... -
Enforcing multilabel consistency for automatic spatio-temporal assessment of shoulder pain intensity
(Association for Computing Machinery, 2020)The standard clinical assessment of pain is limited primarily to self-reported pain or clinician impression. While the self-reported measurement of pain is useful, in some circumstances it cannot be obtained. Automatic ... -
Spatio-temporal assessment of pain intensity through facial transformation-based representation learning
(Bilkent University, 2021-09)The nature of pain makes it di cult to assess due to its subjectivity and multidimensional characteristics that include intensity, duration, and location. However, the ability to assess pain in an objective and reliable ... -
Toward an estimation of user tagging credibility for social image retrieval
(ACM, 2014-11)Existing image retrieval systems exploit textual or/and visual information to return results. Retrieval is mostly focused on data themselves and disregards the data sources. In Web 2.0 platforms, the quality of annotations ... -
Weakly supervised object localization with multi-fold multiple instance learning
(IEEE Computer Society, 2017)Object category localization is a challenging problem in computer vision. Standard supervised training requires bounding box annotations of object instances. This time-consuming annotation process is sidestepped in weakly ...
