193 search results - page 6 / 39 » Sparseness Achievement in Hidden Markov Models |
NAACL
2007
13 years 9 months ago
2007
Letter-to-phoneme conversion generally requires aligned training data of letters and phonemes. Typically, the alignments are limited to one-to-one alignments. We present a novel t...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
While nonnegative matrix factorization (NMF) has successfully been applied for gain-robust multi-pitch detection, a method to track pitch values over time was not provided. We emb...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
The goal of this communication is to present a weighted likelihood discriminant for minimum error shape classification. Different from traditional Maximum Likelihood (ML) methods...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
In this paper, we describe a statistical method to detect highlights in a baseball game video. The input video is first segmented into scene shots, within which the camera motion ...
ACL
2006
13 years 9 months ago
2006
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...