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NECO
2010
97views more  NECO 2010»
15 years 5 months ago
Rademacher Chaos Complexities for Learning the Kernel Problem
In this paper we develop a novel generalization bound for learning the kernel problem. First, we show that the generalization analysis of the kernel learning problem reduces to in...
Yiming Ying, Colin Campbell
152
Voted
INTERSPEECH
2010
15 years 1 months ago
Chirp complex cepstrum-based decomposition for asynchronous glottal analysis
It was recently shown that complex cepstrum can be effectively used for glottal flow estimation by separating the causal and anticausal components of speech. In order to guarantee...
Thomas Drugman, Thierry Dutoit
CNSR
2008
IEEE
136views Communications» more  CNSR 2008»
16 years 1 months ago
Using QR-Updating with Reduced Complexity for Precise Localization in Mobile Sensor Networks
Localizing tiny sensor nodes in large wireless sensor networks is extremely complex, due to the node’s strict resource limitations regarding memory size, processor performance a...
Frank Reichenbach, Dominik Lieckfeldt, Dirk Timmer...
AI
2007
Springer
16 years 28 days ago
Rethinking the Semantics of Complex Nominals
Complex Nominals (CNs) have simple syntactic structure that conceals non-trivial semantic characteristics. While speakers of natural languages combine noun(s)/adjective(s) with a h...
Nabil Abdullah, Richard A. Frost
KI
2007
Springer
16 years 26 days ago
The Behaviour-Based Control Architecture iB2C for Complex Robotic Systems
This paper presents the behaviour-based control architecture iB2C (integrated Behaviour-Based Control) used for the development of complex robotic systems. The specification of be...
Martin Proetzsch, Tobias Luksch, Karsten Berns