Intelligent systems in automobiles need to be aware of the driving and driver context. Available sensor data stream has to be modeled and monitored in order to do so. Currently there …
Imitation Learning (IL) is one of the most widely used methods in machine learning. Yet, many works find it is often unable to fully recover the underlying expert behavior, even in …
The self‐organizing map, a neural network algorithm of Kohonen, was used for the detection of coarticulatory variation of fricative [s] preceding vowels [a:], [i:], and [u:]. The results were …
A microprocessor-based real-time speech recognition system is described. It is able to produce orthographic transcriptions for arbitrary words or phrases uttered in Finnish or Japanese. …
Traffic advisories can be delivered to assist travelers in avoiding congested areas and reaching their destinations in a timely manner. Instead of relying on a user to manually enter travel …
Shannon’s seminal work on information theory provided the conceptual framework for communication through noisy channels ( 36 ). This work, quantifying the information content of …
The marriage of Renyi entropy with Parzen density estimation has been shown to be a viable tool in learning discriminative feature transforms. However, it suffers from computational …
A classifier was trained to detect driver inattention using output from typical sensors available on modern vehicles equipped with a Collision Avoidance System (CAS). A driving …
www.isca-archive.org/ecst_1987/kohonen87_ecst.htmlPDFA flexible and inexpensive real-time speech recognitlon system is described. It operates in the following modes: recognitlon of isolated words from a large vocabulary, and orthographic …
Identifying biodiversity hotspots is a key strategy for prioritising conservation efforts. However, depending on the biodiversity measures or taxonomic groups used, different areas may be …