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» Unsupervised Learning of Generalized Names
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NN
2006
Springer
14 years 11 months ago
Self-organizing neural networks to support the discovery of DNA-binding motifs
Identification of the short DNA sequence motifs that serve as binding targets for transcription factors is an important challenge in bioinformatics. Unsupervised techniques from t...
Shaun Mahony, Panayiotis V. Benos, Terry J. Smith,...
IDA
2006
Springer
14 years 11 months ago
Structural hidden Markov models: An application to handwritten numeral recognition
We introduce in this paper a generalization of the widely used hidden Markov models (HMM's), which we name "structural hidden Markov models" (SHMM). Our approach is ...
Djamel Bouchaffra, Jun Tan
CLEF
2009
Springer
15 years 10 days ago
MorphoNet: Exploring the Use of Community Structure for Unsupervised Morpheme Analysis
This paper investigates a novel approach to unsupervised morphology induction relying on community detection in networks. In a first step, morphological transformation rules are a...
Delphine Bernhard
MM
2010
ACM
137views Multimedia» more  MM 2010»
14 years 11 months ago
Unsupervised summarization of rushes videos
This paper proposes a new framework to formulate the problem of rushes video summarization as an unsupervised learning problem. We pose the problem of video summarization as one o...
Yang Liu, Feng Zhou, Wei Liu, Fernando De la Torre...
WWW
2008
ACM
15 years 12 months ago
A unified framework for name disambiguation
Name ambiguity problem has been a challenging issue for a long history. In this paper, we intend to make a thorough investigation of the whole problem. Specifically, we formalize ...
Jie Tang, Jing Zhang, Duo Zhang, Juanzi Li