2,036 research outputs found
Embedding based on function approximation for large scale image search
The objective of this paper is to design an embedding method that maps local
features describing an image (e.g. SIFT) to a higher dimensional representation
useful for the image retrieval problem. First, motivated by the relationship
between the linear approximation of a nonlinear function in high dimensional
space and the stateof-the-art feature representation used in image retrieval,
i.e., VLAD, we propose a new approach for the approximation. The embedded
vectors resulted by the function approximation process are then aggregated to
form a single representation for image retrieval. Second, in order to make the
proposed embedding method applicable to large scale problem, we further derive
its fast version in which the embedded vectors can be efficiently computed,
i.e., in the closed-form. We compare the proposed embedding methods with the
state of the art in the context of image search under various settings: when
the images are represented by medium length vectors, short vectors, or binary
vectors. The experimental results show that the proposed embedding methods
outperform existing the state of the art on the standard public image retrieval
benchmarks.Comment: Accepted to TPAMI 2017. The implementation and precomputed features
of the proposed F-FAemb are released at the following link:
http://tinyurl.com/F-FAem
Wireless Powered Cooperative Relaying using NOMA with Imperfect CSI
The impact of imperfect channel state (CSI) information in an energy
harvesting (EH) cooperative non-orthogonal multiple access (NOMA) network,
consisting of a source, two users, and an EH relay is investigated in this
paper. The relay is not equipped with a fixed power source and acts as a
wireless powered node to help signal transmission to the users. Closed-form
expressions for the outage probability of both users are derived under
imperfect CSI for two different power allocation strategies namely fixed and
dynamic power allocation. Monte Carlo simulations are used to numerically
evaluate the effect of imperfect CSI. These results confirm the theoretical
outage analysis and show that NOMA can outperform orthogonal multiple access
even with imperfect CSI.Comment: 6 pages, 6 figures, accepted in IEEE GLOBECOM 2018 NOMA Worksho
On outage probability and throughput performance of cognitive radio inspired NOMA relay system
To improve the throughput and the outage probability of the Cognitive Radio (CR) inspired system, a novel Non-Orthogonal Multiple Access (NOMA) can be deployed to adapt multiple services in 5G wireless communication. In this scheme, after the reception of the superposition coded symbol with a predefined power allocation factors from the primary source, the relay decodes and forwards with a new superposition coded symbol (i.e. allocating another power factors) to the destination. By employing twin antenna design at the relay, the bandwidth efficiency in such scheme will be improved. Assuming Rayleigh fading channels, the closed-form expressions in terms of throughput and the outage performance are derived. Through numerical results, they showed that the outage performance of the proposed scheme using a Single Antenna (SA) scheme at the relay is better than a Twin Antenna (TA) scheme because SA scheme is not affected by its own antenna interference
Future Open Mobile Services
The major barriers for the success of mobile data services are the lack of comprehensible mobile service architectures, their confusing business models and the complexity combined with the inconsistency of the technology enablers. This paper attempts to present a more structured and comprehensive analysis of the current mobile service architectures and their technology enablers. The paper starts with a thorough study of the evolution of mobile services and their business models, and a collection of expectations of the different actors, including the end-user. Next, starting from the original mobile services architecture and environment, an attempt to place the different technology enablers in relation to each other and in relation to their position in the mobile system, will be carried out. Each technology enabler together with their contribution in the enhancement of mobile services are then summarised in a complete and comprehensive way. The paper concludes with a recapitulation of the achievement of the state-of-the-art technology enablers and an identification of future improvements
Effects of Tapping and Stimulation Frequency on Performance of Yield and Selected Latex Physiological Parameters of Rubber (Hevea Brasiliensis Muell.Arg.) Clones RRIM 600 and Gt 1
Three experiments were conducted on two rubber
clones to study the effects of tapping and stimulation
frequency on performance of yield and some selected
latex physiological parameters. The first experiment
studied the long-term effects of various frequencies of
2.5% ethephon stimulation on yield performance of RRIM
60 0 over 14 years duration. The second experiment
investigated the various combinations of tapping and
stimulation frequency on the yield performance of GT 1. over 14 years duration. A short-term experiment of four
years constituted the third experiment which studied the
effects of tapping and stimulation frequency on
performance of yield, some selected latex physiological
parameters and bark characteristics of RRIM 600
REGARDS CROISÉS DU MÉCANISME DE TOURS DE PAROLE DANS LES DISCUSSIONS ENDOLINGUES ET EXOLINGUES EN FRANÇAIS
International audienceThe management of turn-taking's strategies are not always identical from one language-culture system to another. In the intercultural conversation, this feature from the speaking turn causes difficulties for non-native, and it is possible that forces them to adapt to the native's behavior for " succeeding " the conversation
REGARDS CROISÉS DU MÉCANISME DE TOURS DE PAROLE DANS LES DISCUSSIONS ENDOLINGUES ET EXOLINGUES EN FRANÇAIS
International audienceThe management of turn-taking's strategies are not always identical from one language-culture system to another. In the intercultural conversation, this feature from the speaking turn causes difficulties for non-native, and it is possible that forces them to adapt to the native's behavior for " succeeding " the conversation
Parallel multiclass stochastic gradient descent algorithms for classifying million images with very-high-dimensional signatures into thousands classes
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