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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...
IROS
2007
IEEE
156views Robotics» more  IROS 2007»
16 years 26 days 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...
ICMCS
2006
IEEE
104views Multimedia» more  ICMCS 2006»
16 years 19 days ago
A Violin Music Transcriber for Personalized Learning
This paper presents a new version of our violin music transcriber [1] to support personalized learning. The proposed method is designed to detect duo-pitch (two strings being bowe...
Wei Jie Jonathan Boo, Ye Wang, Alex Loscos
CAMP
2005
IEEE
16 years 6 days ago
Reinforcement Learning for P2P Searching
— For a peer-to-peer (P2P) system holding massive amount of data, an efficient and scalable search for resource sharing is a key determinant to its practical usage. Unstructured...
Luca Gatani, Giuseppe Lo Re, Alfonso Urso, Salvato...
ICCV
2005
IEEE
16 years 5 days ago
Learning the Probability of Correspondences without Ground Truth
We present a quality assessment procedure for correspondence estimation based on geometric coherence rather than ground truth. The procedure can be used for performance evaluation...
Qingxiong Yang, R. Matt Steele, David Nisté...