Titlebook: Neural Information Processing; 18th International C Bao-Liang Lu,Liqing Zhang,James Kwok Conference proceedings 2011 Springer-Verlag GmbH B

aplomb

偉大

anarchist

Ingest

Human Activity Inference Using Hierarchical Bayesian Network in Mobile Contextsloit a variety of contextual information in the mobile environment. Even though it has attempted to infer activities using a mobile device, it is difficult to infer human activities from uncertain, incomplete and insufficient mobile contextual information. We present a method to infer a person’s act

MAL

interrupt

首創(chuàng)精神

Neural Model of Auditory Cortex for Binding Sound Intensity and Frequency Information in Bat’s Echol and velocity of target. The neural circuits for detecting these target features are specialized for amplitude and frequency analysis of the second harmonic constant frequency (CF2) component of Doppler-shifted echoes. The neuronal circuits involved in detecting these features have been well establi

斗志

Naive Bayesian Multistep Speaker Recognition Using Competitive Associative Netsamining a method of speaker recognition using feature vectors of pole distribution extracted by the bagging CAN2, where the CAN2 is a neural net for learning piecewise linear approximation of nonlinear function, and bagging CAN2 is the bagging (bootstrap aggregating) version. In order to reduce the

果仁

HARD

A Biologically Inspired Model for Occluded Patterns occluding patterns play a key role in recognition as well as in reconstructing internal representation for a pattern’s occluding parts. The proposed model is realized with a bidirectional hierarchical neural network. In this network top-down cues, generated by direct connections from the lower to h