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» Capturing Image Structure with Probabilistic Index Maps
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ICRA
2008
IEEE
144views Robotics» more  ICRA 2008»
14 years 2 months ago
Interacting multiple model monocular SLAM
— Recent work has demonstrated the benefits of adopting a fully probabilistic SLAM approach in sequential motion and structure estimation from an image sequence. Unlike standard...
Javier Civera, Andrew J. Davison, J. M. M. Montiel
NIPS
2007
13 years 9 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
LREC
2010
161views Education» more  LREC 2010»
13 years 9 months ago
Providing Multilingual, Multimodal Answers to Lexical Database Queries
Language users are increasingly turning to electronic resources to address their lexical information needs, due to their convenience and their ability to simultaneously capture di...
Gerard de Melo, Gerhard Weikum
PAMI
2012
11 years 10 months ago
A Tree-Based Context Model for Object Recognition
—There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context mod...
Myung Jin Choi, Antonio Torralba, Alan S. Willsky
ICASSP
2007
IEEE
14 years 1 months ago
A New Technique for High-Resolution Frequency Domain Optical Coherence Tomography
Frequency domain optical coherence tomography (FDOCT) is a new technique that is well-suited for fast imaging of biological specimens, as well as non-biological objects. The measu...
S. Chandra Sekhar, Himanshu Nazkani, Thierry Blu, ...