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» Brain Morphometry by Probabilistic Latent Semantic Analysis
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DEXAW
2010
IEEE
202views Database» more  DEXAW 2010»
13 years 8 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...
ECCV
2006
Springer
14 years 9 months ago
Scene Classification Via pLSA
Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised man...
Anna Bosch, Andrew Zisserman, Xavier Muñoz
WWW
2009
ACM
14 years 8 months ago
Probabilistic question recommendation for question answering communities
User-Interactive Question Answering (QA) communities such as Yahoo! Answers are growing in popularity. However, as these QA sites always have thousands of new questions posted dai...
Mingcheng Qu, Guang Qiu, Xiaofei He, Cheng Zhang, ...
CIVR
2010
Springer
215views Image Analysis» more  CIVR 2010»
13 years 11 months ago
Multi modal semantic indexing for image retrieval
Popular image retrieval schemes generally rely only on a single mode, (either low level visual features or embedded text) for searching in multimedia databases. Many popular image...
Chandrika Pulla, C. V. Jawahar
CVPR
2007
IEEE
14 years 9 months ago
A Topic-Motion Model for Unsupervised Video Object Discovery
The bag-of-words representation has attracted a lot of attention recently in the field of object recognition. Based on the bag-of-words representation, topic models such as Probab...
David Liu, Tsuhan Chen