Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
Ying Lai, Ratko Orlandic, Wai Gen Yee, Sachin Kulk...
We introduce a novel and inexpensive approach for the temporal alignment of speech to highly imperfect transcripts from automatic speech recognition (ASR). Transcripts are generat...
We present a novel fully automatic method for high resolution, non-rigid dense 3D point tracking. High quality dense point clouds of non-rigid geometry moving at video speeds are ...
Yang Wang, Mohit Gupta, Song Zhang 0002, Sen Wang,...
In this paper, we present a combined real-time face region tracking and highly accurate face recognition technique for an intelligent surveillance system. Highresolution face imag...
Young-Ouk Kim, Joon Ki Paik, Jingu Heo, Andreas Ko...
Motivated by Lagrangian simulation of elastic deformation, we propose a new tetrahedral mesh generation algorithm that produces both high quality elements and a mesh that is well ...
Neil Molino, Robert Bridson, Joseph Teran, Ronald ...