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EMNLP
2007
13 years 10 months ago
Finding Good Sequential Model Structures using Output Transformations
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelâ...
Edward Loper
ICIP
2005
IEEE
14 years 2 months ago
Bayesian blind source separation for brain imaging
This paper deals with the problem of blind source separation in fMRI data analysis. Our main contribution is to present a maximum likelihood based method to blindly separate the b...
Hicham Snoussi, Vince D. Calhoun
CVPR
2004
IEEE
14 years 10 months ago
Collaborative Tracking of Multiple Targets
Coalescence, meaning the tracker associates more than one trajectories to some targets while loses track for others, is a challenging problem for visual tracking of multiple targe...
Ting Yu, Ying Wu
CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
13 years 10 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...
EDBT
2009
ACM
175views Database» more  EDBT 2009»
14 years 3 months ago
Towards materialized view selection for distributed databases
Materialized views (MV) can signiï¬cantly improve the query performance of relational databases. In this paper, we consider MVs to optimize complex scenarios where many heterogen...
Leonardo Weiss Ferreira Chaves, Erik Buchmann, Fab...