DFKI - Interactive Machine Learning Lab

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Machine Learning

Machine Learning

Visual Search Target Inference for Pro-active User Support

Visual Search Target Inference in Natural Interaction Settings with Machine Learning Visual search is a perceptual task in which humans aim at identifying a search target object such as a traffic sign among other objects. Search target inference subsumes computational methods for predicting this target by tracking and analyzing overt Read more…

By Michael Barz, 3 yearsMay 17, 2020 ago
Machine Learning

Active Learning in Image Captioning

In this present day and age of smart phones, ipads and other smart devices a digital camera has become an integral part of our daily experience. This combined with our desire to capture moments in images has lead to a vast repository of myriad images on the internet. In this Read more…

By Rajarshi Biswas, 4 yearsMay 15, 2019 ago
Machine Learning

Interactive Learning of Scoring Systems

In the medical domain physicians are often forced to decide quickly whether a further examination is appropriate or which of several treatments is best suited for a patient.A first preliminary ruling can sometimes be made on the basis of a few aspects, e.g. with so called ABCDE rule for the Read more…

By Alexander Prange, 5 yearsApril 10, 2018 ago
Machine Learning

Handwriting Spellchecker

In comparison to typing, handwriting stimulates different parts of the human brain and brings into play a very different cognitive process. Many of today’s tasks benefit from digitalization and digitization of handwriting input and with the availability of low-cost consumer grade capturing devices, such as digital pens, graphic tablets and Read more…

By Alexander Prange, 5 yearsMarch 20, 2018 ago
Machine Learning

Learning through Human-Robot Dialogues

Learning through Human-Robot Dialogues Today, robots are present in our lives and they will be even more ubiquitous in the future. This advance of robotic technologies also poses the question how humans can guide the behavior of a robot and, in particular, how non-specialists can advise robots to learn new Read more…

By Michael Barz, 6 yearsMarch 24, 2017 ago
Machine Learning

Multi-Sketch Recognition

Many of todays processes benefits from digitization and digitalization of written content when it comes to data aquisition for machine learning tasks. Through the use of state of the art handwriting and gesture recognition we enable flexible multi-sketch recognition in a variety of application scenarios, ranging from radiology findings to Read more…

By Alexander Prange, 7 yearsApril 12, 2016 ago
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