We derive an asymptotic Newton algorithm for Quasi Maximum Likelihood estimation of the ICA mixture model, using the ordinary gradient and Hessian. The probabilistic mixture frame...
Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delg...
This paper presents a novel robust watermarking algorithm for 3D skinning mesh animations by embedding the watermark in skin weights in addition to key frames. This method can be ...
to appear in Proc. IEEE Int’l Conf. on Acoustics, Speech, and Signal Processing, March, 2008 High-dynamic-range medical images take intensity values which cannot be visualized o...
The aim of this article is to recall the applications of the topological asymptotic expansion to many image processing problems. We briefly review the topological asymptotic analy...
Multiple memory banks design is employed in many high performance DSP processors. This architectural feature supports higher memory bandwidth by allowing multiple data memory acce...
Chun Jason Xue, Tiantian Liu, Zili Shao, Jingtong ...
Anisotropic diffusion (ATD) is an edge-oriented, scale-space based, and iterative image-smoothing process. Two main challenges of ATD are how to automatically stop the iterative p...
The desirable asymptotic optimality properties of the maximum likelihood (ML) estimator make it an attractive solution for performing independent component analysis (ICA) as well....
We present a query-by-example audio retrieval framework by indexing audio clips in a generic database as points in a latent perceptual space. First, feature-vectors extracted from...
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
We consider the problem of online learning in a changing environment under sparse user feedback. Specifically, we address the classification of music types according to a user...