We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
Technology--the collection of devices and methods available to human society--evolves by constructing new devices and methods from ones that previously exist, and in turn offering...
In this submission for the CHI05 Development forum, I reflect on my experience leading the Experience Design community of interest of the American Institute of Graphic Arts and su...
We investigate a recently proposed Bayesian adaptation method for building style-adapted maximum entropy language models for speech recognition, given a large corpus of written la...
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...