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CVPR
2009
IEEE
17 years 2 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...
231
Voted
CVPR
2012
IEEE
13 years 10 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 9 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
192
Voted
WWW
2009
ACM
16 years 8 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 2 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