ICANN
2007
Springer
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 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
13 years 10 months ago
2007
Springer
ICANN
2007
Springer
13 years 10 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
13 years 10 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...