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ICASSP
2008
IEEE
15 years 6 months ago
Frequency domain selective tap adaptive algorithms for sparse system identification
We propose a new low complexity and fast converging frequencydomain adaptive algorithm for sparse system identification. This is achieved by exploiting the MMax and SP tap-select...
Andy W. H. Khong, Xiang Lin, Milos Doroslovacki, P...
DEXAW
2000
IEEE
165views Database» more  DEXAW 2000»
15 years 4 months ago
Summarizing Video Datasets in the Spatiotemporal Domain
In this paper we address the problem of analyzing and managing complex dynamic scenes captured in video. We present an approach to summarize video datasets by analyzing the trajec...
Anthony Stefanidis, Panos Partsinevelos, Peggy Ago...
COLING
2000
15 years 1 months ago
A Dynamic Language Model Based on Individual Word Domains
We present a new statistical language model based on a Colnbination of individual word language models. Each word model is built from an individual corpus which is formed by extra...
Elvira I. Sicilia-Garcia, Ji Ming, F. Jack Smith
NIPS
1998
15 years 1 months ago
Efficient Bayesian Parameter Estimation in Large Discrete Domains
In this paper we examine the problem of estimating the parameters of a multinomial distribution over a large number of discreteoutcomes,most of which do not appearin the training ...
Nir Friedman, Yoram Singer
UAI
2000
15 years 1 months ago
Adaptive Importance Sampling for Estimation in Structured Domains
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
Luis E. Ortiz, Leslie Pack Kaelbling