The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
Abstract--For modern embedded systems in the realm of highthroughput multimedia, imaging, and signal processing, the complexity of embedded applications has reached a point where t...
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...
This paper presents an intelligent scissoring operator for meshes. Unlike common approaches that segment a mesh using clustering schemes, we introduce a method that concentrates o...
Yunjin Lee, Seungyong Lee, Ariel Shamir, Daniel Co...
The paper presents approaches to the validation of optimizing compilers. The emphasis is on aggressive and architecture-targeted optimizations which try to obtain the highest perf...
Lenore D. Zuck, Amir Pnueli, Yi Fang, Benjamin Gol...