Zhou; Jian-Iai

Patent Applications and Registrations

Patent applications and USPTO patent grants for Zhou; Jian-Iai.The latest application filed is for "minimum divergence based discriminative training for pattern recognition".

Company Profile

0.5.4

Zhou; Jian-Iai - Beijing CN

*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.

Patent Activity

Patent	Date
Symbol graph generation in handwritten mathematical expression recognition Grant 7,885,456 - Shi , et al. February 8, 2	2011-02-08
Parsimonious modeling by non-uniform kernel allocation Grant 7,680,664 - Liu , et al. March 16, 2	2010-03-16
Auto segmentation based partitioning and clustering approach to robust endpointing Grant 7,680,657 - Shi , et al. March 16, 2	2010-03-16
Method of speech recognition using hidden trajectory Hidden Markov Models Grant 7,617,104 - Deng , et al. November 10, 2	2009-11-10
Minimum Divergence Based Discriminative Training For Pattern Recognition App 20080243503 - Soong; Frank Kao-Ping ; et al.	2008-10-02
Method of speech recognition using time-dependent interpolation and hidden dynamic value classes Grant 7,050,975 - Deng , et al. May 23, 2	2006-05-23
Method of speech recognition using time-dependent interpolation and hidden dynamic value classes App 20060085191 - Deng; Li ; et al.	2006-04-20
Method of speech recognition using hidden trajectory hidden markov models App 20040143435 - Deng, Li ; et al.	2004-07-22
Method of speech recognition using time-dependent interpolation and hidden dynamic value classes App 20040019483 - Deng, Li ; et al.	2004-01-29

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.