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MM
2005
ACM
209views Multimedia» more  MM 2005»
13 years 10 months ago
Learning an image-word embedding for image auto-annotation on the nonlinear latent space
Latent Semantic Analysis (LSA) has shown encouraging performance for the problem of unsupervised image automatic annotation. LSA conducts annotation by keywords propagation on a l...
Wei Liu, Xiaoou Tang
CIKM
2008
Springer
13 years 7 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
BIOID
2008
135views Biometrics» more  BIOID 2008»
13 years 7 months ago
Multimodal Speaker Identification Based on Text and Speech
Abstract. This paper proposes a novel method for speaker identification based on both speech utterances and their transcribed text. The transcribed text of each speaker's utte...
Panagiotis Moschonas, Constantine Kotropoulos
EMNLP
2008
13 years 6 months ago
HTM: A Topic Model for Hypertexts
Previously topic models such as PLSI (Probabilistic Latent Semantic Indexing) and LDA (Latent Dirichlet Allocation) were developed for modeling the contents of plain texts. Recent...
Congkai Sun, Bin Gao, Zhenfu Cao, Hang Li
MM
2003
ACM
132views Multimedia» more  MM 2003»
13 years 10 months ago
On image auto-annotation with latent space models
Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of t...
Florent Monay, Daniel Gatica-Perez