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CVPR
2001
IEEE
14 years 10 months ago
Clustering Art
We extend a recently developed method [1] for learning the semantics of image databases using text and pictures. We incorporate statistical natural language processing in order to...
Kobus Barnard, Pinar Duygulu, David A. Forsyth
ICASSP
2008
IEEE
14 years 3 months ago
Unsupervised language model adaptation via topic modeling based on named entity hypotheses
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...
Yang Liu, Feifan Liu
ACL
2004
13 years 10 months ago
Discovering Relations among Named Entities from Large Corpora
Discovering the significant relations embedded in documents would be very useful not only for information retrieval but also for question answering and summarization. Prior method...
Takaaki Hasegawa, Satoshi Sekine, Ralph Grishman
WACV
2008
IEEE
14 years 3 months ago
Object Categorization Based on Kernel Principal Component Analysis of Visual Words
In recent years, many researchers are studying object categorization problem. It is reported that bag of keypoints approach which is based on local features without topological in...
Kazuhiro Hotta
WWW
2010
ACM
13 years 8 months ago
Cross-domain sentiment classification via spectral feature alignment
Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...
Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qian...