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ICPR
2000
IEEE
14 years 8 days ago
A New Approach to Speech-Input Statistical Translation
The statistical pattern recognition is a promising framework for text-to-text translation. However, a natural extension to speech-input translation is not straightforward. In this...
Ismael García-Varea, Alberto Sanchís...
ICMLA
2009
13 years 5 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...
ICALP
2011
Springer
12 years 11 months ago
New Algorithms for Learning in Presence of Errors
We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
Sanjeev Arora, Rong Ge
ICARCV
2008
IEEE
197views Robotics» more  ICARCV 2008»
14 years 2 months ago
A new algorithm for calibrating a combined camera and IMU sensor unit
Abstract—This paper is concerned with the problem of estimating the relative translation and orientation between an inertial measurement unit and a camera which are rigidly conne...
Jeroen D. Hol, Thomas B. Schön, Fredrik Gusta...
JDA
2011
90views more  JDA 2011»
13 years 2 months ago
Pattern matching in pseudo real-time
It has recently been shown how to construct online, non-amortised approximate pattern matching algorithms for a class of problems whose distance functions can be classified as be...
Raphaël Clifford, Benjamin Sach