ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. Keyword spotting is a detection task consisting in discovering the presence of specific spoken words in unconstrained speech. The majority of keyword spotting systems ar...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Neurocognitive processes responsible for representation of meaning and understanding of words are investigated. First a review of current knowledge about word representation, recen...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
This work describes a complete indoor location system, from its creation, development and deployment. This location system is a capable way of retrieving the position of wireless d...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Present work introduces a probabilistic recognition scheme for hand gestures. Self organizing feature maps are used to model spatiotemporal information extracted through image proc...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. Reservoir Computing (RC) uses a randomly created recurrent neural network where only a linear readout layer is trained. In this work, RC is used for detecting complex eve...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. This paper introduces the notion of the variadic neural network (VNN). The inputs to a variadic network are an arbitrary-length list of n-tuples of real numbers, where n ...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Finding the largest linearly separable set of examples for a given Boolean function is a NP-hard problem, that is relevant to neural network learning algorithms and to several prob...
ICANN
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. Feedback circuits are important for understanding the emergence of patterns of neural activity. In this contribution we study how a delayed circuit representing a recurre...