نتایج جستجو برای: deep state
تعداد نتایج: 1044965 فیلتر نتایج به سال:
: In this paper, the operation scheduling of Microgrids (MGs), including Distributed Energy Resources (DERs) and Energy Storage Systems (ESSs), is proposed using a Deep Reinforcement Learning (DRL) based approach. Due to the dynamic characteristic of the problem, it firstly is formulated as a Markov Decision Process (MDP). Next, Deep Deterministic Policy Gradient (DDPG) algorithm is presented t...
In this article, the author describes the emergence of drug-related black economy in Akra state of Brazil. This state is located in the joint border with Bolivia and Peru. There is a long distance between this state and distribution/selling centers, so there is no industrial laboratories for manufacturing cocaine and drug traders export freebase to Peru and from where to Colombia. Regarding t...
a vantages et risques d un traitement en deux temps de l ulcere duodenal perfore : a propos de 8 cas
8 cases of perforated duodenal ulcers reviewed after 5 to 8 years were operated in two stages: f h i nd gastroenterostomy. a) in a first stage: suture 0 t e u cer a b) :1.4 weeks later: trans - thoracal vagotomy. f i in pateints: • . edure are use u the advantages of the two - stages - operative - proc _seen in a very late state. _of poor operative risk. _with important obesity. _or abnormal de...
Face verification, which aims to determine whether two face images belong to the same identity, is an important task in multimedia area. Face verification becomes more challenging when the person is wearing makeup. However, collecting sufficient makeup and non-makeup image pairs are tedious, which brings great challenges for deep learning methods of face verification. In this paper, we propose ...
Person re-identification (ReID) is an important task in computer vision. Recently, deep learning with a metric learning loss has become a common framework for ReID. In this paper, we propose a new metric learning loss with hard sample mining called margin smaple mining loss (MSML) which can achieve better accuracy compared with other metric learning losses, such as triplet loss. In experiments,...
Algorithmic composition of music has a long history and with the development of powerful deep learning methods, there has recently been increased interest in exploring algorithms and models to create art. We explore the utility of state space models, in particular hidden Markov models (HMMs) and variants, in composing classical piano pieces from the Romantic era and consider the models’ ability...
In this paper, a code-switching automatic speech recognition (ASR) system built for the Frisian language is described. Frisian is mostly spoken in the province Fryslân which is located in the north of the Netherlands. The native speakers of Frisian are mostly bilingual and often code-switch in daily conversations due to the extensive influence of the Dutch language. In the scope of the FAME! Pr...
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