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CVPR
2010
IEEE
16 years 3 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
167
Voted
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
16 years 1 months ago
Learning sound location from a single microphone
Abstract— We consider the problem of estimating the incident angle of a sound, using only a single microphone. The ability to perform monaural (single-ear) localization is import...
Ashutosh Saxena, Andrew Y. Ng
260
Voted
ICASSP
2008
IEEE
16 years 1 months ago
Unsupervised learning of auditory filter banks using non-negative matrix factorisation
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...
172
Voted
IROS
2007
IEEE
156views Robotics» more  IROS 2007»
16 years 1 months ago
Learning maps in 3D using attitude and noisy vision sensors
— In this paper, we address the problem of learning 3D maps of the environment using a cheap sensor setup which consists of two standard web cams and a low cost inertial measurem...
Bastian Steder, Giorgio Grisetti, Slawomir Grzonka...
RE
2007
Springer
16 years 1 months ago
Value-Based Requirements Traceability: Lessons Learned
Abstract. Traceability from requirements to code is mandated by numerous software development standards. These standards, however, are not explicit about the appropriate level of q...
Alexander Egyed, Paul Grünbacher, Matthias He...