20 search results - page 1 / 4 » Fast signal analysis and decomposition on graphs using the S... |
96
Voted
ICASSP
2010
IEEE
15 years 26 days ago
2010
IEEE
Recently, the Sparse Matrix Transform (SMT) has been proposed as a tool for estimating the eigen-decomposition of high dimensional data vectors [1]. The SMT approach has two major...
112
click to vote
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
In this paper, a new class of audio representations is introduced, together with a corresponding fast decomposition algorithm. The main feature of these representations is that th...
102
Voted
IDA
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. We apply sparse, fast and flexible adaptive lapped orthogonal transforms to underdetermined audio source separation using the time-frequency masking framework. This norm...
115
click to vote
SDM
2007
SIAM
15 years 2 months ago
2007
SIAM
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
133
Voted
NIPS
2008
15 years 2 months ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...