نتایج جستجو برای: joint typicality decoder

تعداد نتایج: 200824  

2007
Zhe Li

Both the Self-Organizing Map (SOM) and fuzzy ARTMAP neural network are trained based upon the competitive mechanism and use the “winner-take-all” rule. Previous studies developed soft classification algorithms for the SOM. This paper introduces the idea and proposes non-parametric measures for the fuzzy ARTMAP computational neural networks to handle spatial uncertainty in remotely sensed imager...

Journal: :NeuroImage 2016
Marius Catalin Iordan Michelle R. Greene Diane M. Beck Li Fei-Fei

The purpose of categorization is to identify generalizable classes of objects whose members can be treated equivalently. Within a category, however, some exemplars are more representative of that concept than others. Despite long-standing behavioral effects, little is known about how typicality influences the neural representation of real-world objects from the same category. Using fMRI, we sho...

Journal: :Journal of cognitive neuroscience 2007
Olaf Hauk Karalyn Patterson Anna M. Woollams Elisa Cooper-Pye Friedemann Pulvermüller Timothy T. Rogers

Using an object decision task, event-related potentials (ERPs), and minimum norm current source estimates, we investigated early spatiotemporal aspects of cortical activation elicited by line drawings that were manipulated on two dimensions: authenticity and typicality. Authentic objects were those that match real-world experience, whereas nonauthentic objects were "doctored" by deletion or add...

2016
Xiuling Liang Qingfei Chen Yi Lei Hong Li

Behavioural studies have indicated that semantic typicality influences processing time and accuracy during the performance of inductive reasoning (i.e., the typicality effect). The present study examines this effect by manipulating the types of premises and conclusions (i.e., general, typical, or atypical) at an electrophysiological level using a semantic category-based induction task. With reg...

Journal: :IEEE Trans. Information Theory 2006
S. Matloub T. Weissman

We consider zero-delay joint source-channel coding of individual source sequences for a general known channel. Given an arbitrary finite set of schemes with finite-memory (not necessarily time-invariant) decoders, a scheme is devised that does essentially as well as the best in the set on all individual source sequences. Using this scheme, we construct a universal zero-delay joint source-channe...

2013
Colleen M. Carpinella Kerri L. Johnson

► We examine the influence of appearance-based cues on judgments of party affiliation. ► We find that facial cues associated with political party affiliation are sex-typed. ► Female Republicans are significantly more sex-typical than female Democrats. ► Accuracy of party judgments varies by sex-typicality and politician party. ► Facial sex-typicality mediates the influence of politician sex and...

Journal: :IEEE Transactions on Information Theory 2023

The channel synthesis problem has been widely investigated over the last decade. In this paper, we consider sequential version in which encoder and decoder work a way. Under mild assumption on target joint distribution provide complete (single-letter) characterization of solution for point-to-point case, shows that canonical symbol-by-symbol mapping is not optimal general, but indeed if make so...

2014
Qi Li Heng Ji

We present an incremental joint framework to simultaneously extract entity mentions and relations using structured perceptron with efficient beam-search. A segment-based decoder based on the idea of semi-Markov chain is adopted to the new framework as opposed to traditional token-based tagging. In addition, by virtue of the inexact search, we developed a number of new and effective global featu...

2017
Lei Tang Wei-Wei Liu Tian-Yu Wang

An efficient distributed Alamouti Space-time coded relay cooperation scheme is proposed over a Rayleigh fading channel, where structured irregular systematic low-densityparity-check (LDPC) codes are employed. In the known channel state information (CSI) scenario, a concatenation of combiner and joint iterative decoder is effectively carried out in the destination. The theoretical analysis and n...

2009
Mohammad Golbabaee Pierre Vandergheynst

Distributed compressed sensing is the extension of compressed sampling (CS) to sensor networks. The idea is to design a CS joint decoding scheme at a central decoder (base station) that exploits the inter-sensor correlations, in order to recover the whole observations from very few number of random measurements per node. In this paper, we focus on modeling the correlations and on the design and...

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