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» Using hidden Markov models and wavelets for face recognition
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SSPR
2010
Springer
14 years 10 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
107
Voted
ICMCS
2005
IEEE
102views Multimedia» more  ICMCS 2005»
15 years 5 months ago
A Probabilistic Framework for TV-News Stories Detection and Classification
In this paper we face the problem of partitioning the news videos into stories, and of their classification according to a predefined set of categories. In particular, we propose ...
Francesco Colace, Pasquale Foggia, Gennaro Percann...
107
Voted
IJCNN
2000
IEEE
15 years 3 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo
110
Voted
CVPR
2010
IEEE
15 years 4 months ago
A Novel Markov Random Field Based Deformable Model for Face Recognition
In this paper, a new scheme to address the face recognition problem is proposed. Different from traditional face recognition approaches which represent each facial image by a sing...
Shu Liao, Albert C.S. Chung
ICPR
2010
IEEE
14 years 9 months ago
Patch-Based Similarity HMMs for Face Recognition with a Single Reference Image
In this paper we present a new architecture for face recognition with a single reference image, which completely separates the training process from the recognition process. In th...
Ngoc-Son Vu, Alice Caplier