Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
Conditional Random Fields (CRFs) are often estimated using an entropy based criterion in combination with Generalized Iterative Scaling (GIS). GIS offers, upon others, the immedi...
Profile based Hidden Markov Model is a widely used tool in bioinformatics. While being very valuable to biologists, it is extremely compute intensive and suffers from prohibitive...
We demonstrate our airwriting interface for mobile handsfree text entry. The interface enables a user to input text into a computer by writing in the air like on an imaginary blac...