New Stochastic Method for Sequence Recognition
<strong>Technology</strong><br>
We offer a new stochastic method for sequence recognition, which is suitable for detection of for example speech, text or handwriting recognition. In tests it outperformed Hidden Markov Models (HMM’s) and other approaches significantly, which were state of the art for pattern recognition of sequences up till now.<!–break–></p> <p>The new sequence recognition method is nearly under and over fitting free. The training procedure doesn’t require an initial set of parameters or incremental optimization, so that the training can run fully automated. The method is able to do “word spotting” in very long sequences. Because of its unique nature it is very insensitive to non-linear distortion. The needed computing cost is low, thus the new method for sequence recognition can work in real time.<br> <br> <strong>IP Rights</strong><br> EP and US patent application with priority on July 2007<br> <br> <strong>Patent Owner</strong><br> Technische Universität Berlin</p>
Further Information: PDF
ipal GmbH
Phone: +49 (0)30/2125-4820
Contact
Dr. Dirk Dantz
Media Contact
All latest news from the category: Technology Offerings
Newest articles
Microscopic basis of a new form of quantum magnetism
Not all magnets are the same. When we think of magnetism, we often think of magnets that stick to a refrigerator’s door. For these types of magnets, the electronic interactions…
An epigenome editing toolkit to dissect the mechanisms of gene regulation
A study from the Hackett group at EMBL Rome led to the development of a powerful epigenetic editing technology, which unlocks the ability to precisely program chromatin modifications. Understanding how…
NASA selects UF mission to better track the Earth’s water and ice
NASA has selected a team of University of Florida aerospace engineers to pursue a groundbreaking $12 million mission aimed at improving the way we track changes in Earth’s structures, such…
