New Stochastic Method for Sequence Recognition
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> <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
Faster, more energy-efficient way to manufacture an industrially important chemical
Zirconium combined with silicon nitride enhances the conversion of propane — present in natural gas — needed to create in-demand plastic, polypropylene. Polypropylene is a common type of plastic found…
Energy planning in Ghana as a role model for the world
Improving the resilience of energy systems in the Global South. What criteria should we use to better plan for resilient energy systems? How do socio-economic, technical and climate change related…
Artificial blood vessels could improve heart bypass outcomes
Artificial blood vessels could improve heart bypass outcomes. 3D-printed blood vessels, which closely mimic the properties of human veins, could transform the treatment of cardiovascular diseases. Strong, flexible, gel-like tubes…