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CVPR
2009
IEEE
17 years 1 months ago
Linear Embeddings in Non-Rigid Structure From Motion
This paper proposes a method to recover the embedding of the possible shapes assumed by a deforming nonrigid object by comparing triplets of frames from an orthographic video se...
Vincent Rabaud (University of California, San Dieg...
CVPR
2012
IEEE
13 years 9 months ago
Learning object class detectors from weakly annotated video
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
Alessandro Prest, Christian Leistner, Javier Civer...
ICIP
2006
IEEE
16 years 8 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
WWW
2009
ACM
16 years 7 months ago
Towards context-aware search by learning a very large variable length hidden markov model from search logs
Capturing the context of a user's query from the previous queries and clicks in the same session may help understand the user's information need. A context-aware approac...
Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, ...
WIA
2009
Springer
16 years 1 months ago
Short Regular Expressions from Finite Automata: Empirical Results
We continue our work [H. Gruber, M. Holzer: Provably shorter regular expressions from deterministic finite automata (extended ). In Proc. DLT, LNCS 5257, 2008] on the problem of ...
Hermann Gruber, Markus Holzer, Michael Tautschnig