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ECCV
2004
Springer
16 years 8 months ago
Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models
Abstract. The exploitation of video data requires to extract information at a rather semantic level, and then, methods able to infer "concepts" from low-level video featu...
Gwenaëlle Piriou, Jian-Feng Yao, Patrick Bout...
ISBI
2009
IEEE
16 years 1 months ago
Instance-Based Generative Biological Shape Modeling
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
Tao Peng, Wei Wang, Gustavo K. Rohde, Robert F. Mu...
CICLING
2008
Springer
15 years 8 months ago
A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation
An N-gram language model aims at capturing statistical word order dependency information from corpora. Although the concept of language models has been applied extensively to handl...
Shou-de Lin, Karin Verspoor
DEXAW
2010
IEEE
202views Database» more  DEXAW 2010»
15 years 7 months ago
Identifying Sentence-Level Semantic Content Units with Topic Models
Abstract--Statistical approaches to document content modeling typically focus either on broad topics or on discourselevel subtopics of a text. We present an analysis of the perform...
Leonhard Hennig, Thomas Strecker, Sascha Narr, Ern...
EMNLP
2011
14 years 6 months ago
Compositional Matrix-Space Models for Sentiment Analysis
We present a general learning-based approach for phrase-level sentiment analysis that adopts an ordinal sentiment scale and is explicitly compositional in nature. Thus, we can mod...
Ainur Yessenalina, Claire Cardie