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77
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ICIP
2007
IEEE
15 years 11 months ago
An Efficient Method for Compressed Sensing
Compressed sensing or compressive sampling (CS) has been receiving a lot of interest as a promising method for signal recovery and sampling. CS problems can be cast as convex prob...
Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Step...
83
Voted
ICPR
2006
IEEE
15 years 10 months ago
Illumination Invariant Texture Retrieval
Two fast illumination invariant image retrieval methods for scenes comprising textured objects with variable illumination are introduced. Both methods are based on texture gradien...
Michal Haindl, Pavel Vacha
CVPR
2010
IEEE
15 years 3 months ago
Dominant Orientation Templates for Real-Time Detection of Texture-Less Objects
We present a method for real-time 3D object detection that does not require a time consuming training stage, and can handle untextured objects. At its core, is a novel tem- plat...
Stefan Hinterstoisser, Vincent Lepetit, Slobodan I...
SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
14 years 14 days ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...
EMNLP
2009
14 years 7 months ago
Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model
We present a new phrase-based conditional exponential family translation model for statistical machine translation. The model operates on a feature representation in which sentenc...
Matti Kääriäinen