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
A universal framework for spatial biology
SpatialData is a freely accessible tool to unify and integrate data from different omics technologies accounting for spatial information, which can provide holistic insights into health and disease. Biological processes…
How complex biological processes arise
A $20 million grant from the U.S. National Science Foundation (NSF) will support the establishment and operation of the National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at…
Airborne single-photon lidar system achieves high-resolution 3D imaging
Compact, low-power system opens doors for photon-efficient drone and satellite-based environmental monitoring and mapping. Researchers have developed a compact and lightweight single-photon airborne lidar system that can acquire high-resolution 3D…