Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
In this article a new approach is given for real-time visual tracking of a class of articulated non-rigid objects in 3D. The main contribution of this paper consists in symmetrica...
Distributed-memory programs are often written using a global address space: any process can name any memory location on any processor. Some languages completely hide the distincti...
The use of proxies for local error recovery and congestion control is a scalable technique used to overcome a number of wellknown problems in Reliable Multicast (RM). The idea is ...
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...