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» Spectral Clustering and Embedding with Hidden Markov Models
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ICDM
2007
IEEE
174views Data Mining» more  ICDM 2007»
14 years 1 months ago
Targeting Input Data for Acoustic Bird Species Recognition Using Data Mining and HMMs
In this paper we propose the integration of Data Mining with Hidden Markov Models when applied to the problem of acoustic bird species recognition. We first show how each of them...
Erika Vilches, Ivan A. Escobar, Edgar E. Vallejo, ...
ICDAR
2003
IEEE
14 years 25 days ago
On-line Signature Verification Using Local Shape Analysis
This paper presents a novel approach to the on-line signature verification using local shape Analysis. First, segment the input signature into several segments using HMM (Hidden M...
Mingfu Zou, Jianjun Tong, Changping Liu, Zhenglian...
MMSEC
2005
ACM
147views Multimedia» more  MMSEC 2005»
14 years 1 months ago
A Bayesian image steganalysis approach to estimate the embedded secret message
Image steganalysis so far has dealt only with detection of a hidden message and estimation of some of its parameters (e.g., message length and secret key). To our knowledge, so fa...
Aruna Ambalavanan, Rajarathnam Chandramouli
CSL
1999
Springer
13 years 7 months ago
A hidden Markov-model-based trainable speech synthesizer
This paper presents a new approach to speech synthesis in which a set of cross-word decision-tree state-clustered context-dependent hidden Markov models are used to define a set o...
R. E. Donovan, Philip C. Woodland
ICIP
2005
IEEE
14 years 1 months ago
HMM-based motion recognition system using segmented PCA
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
Faisal I. Bashir, Wei Qu, Ashfaq A. Khokhar, Dan S...