Machine Vision Community Meets in Stuttgart
نویسندگان
چکیده
منابع مشابه
Machine Translation Evaluation Meets Community Question Answering
We explore the applicability of machine translation evaluation (MTE) methods to a very different problem: answer ranking in community Question Answering. In particular, we adopt a pairwise neural network (NN) architecture, which incorporates MTE features, as well as rich syntactic and semantic embeddings, and which efficiently models complex non-linear interactions. The evaluation results show ...
متن کاملSensory Polymorphism and Behavior: When Machine Vision Meets Monkey Eyes
Polymorphism in the peripheral sensory system (e.g., congenital individual differences in photopigment configuration) is important in diverse research fields, ranging from evolutionary biology to engineering, because of its potential relationship to the cognitive and behavioral variability among individuals. However, there is a gap between the current understanding of sensory polymorphism and t...
متن کاملMachine Intelligence Meets Neuroscience
W hen I was finishing high school in the early 1970s, the closest normal people got to computers was using a teletype. These electromechan-ical monsters could convert bits received at glacially slow (110 baud) telephone rates into a veritable caco-phany of sound. This acoustic din was produced by lots of metal parts slamming into a paper roll somewhere inside the machine. The paper was the same...
متن کاملWhen mind meets machine
into sufferers from amyotrophic lateral sclerosis (ALS) and brain-stem stroke, which enables them to move a computer cursor, albeit slowly. The device uses electrodes attached to amplifiers and FM transmitters transplanted 5 mm deep—just under the scalp—into the brain. The electrodes encourage brain tissue to grow around them, thus stabilizing them against any movement and resulting distortion ...
متن کاملComputer Vision meets Formal Ontology
For analysing the connection between computer vision and ontology, we put ourselves in a classification context. Given a pattern x to classify (a fish image), we consider two classes chromis margaritifer and zebrasoma flavescent. The ontology helps in a sense that it can specify the two fishes in terms (following the Protégé sintax) of classes, subclasses, object properties, individuals, data p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Optik & Photonik
سال: 2018
ISSN: 1863-1460
DOI: 10.1002/opph.201870401