空群之選 的英文怎麼說
中文拼音 [kōngqúnzhīxuǎn]
空群之選
英文
the pick of the best; men of great ability-
The thesis establishes a theory system of contemporary furniture display of exhibitions through systematic analysis and many thinking modes : i. based on the connotation of furniture display and the backgrounds of the development of the exhibitions, the thesis clarifies the connotation and extensive meaning of contemporary furniture display of exhibitions : it is professional display activity which takes the furniture as the carrier and the efficient information transmit and trade as the basic purpose ; it is a systematic, multidimensional space design which is completed in special place, by special group of people ; it is a perfect unite by function, technique, art, culture, which embodies the inevitable alternative from simplicity and practicality to the humanism ; it is an effective distribution method that boosts the development of furniture firms and exhibition activities
本文綜合運用了系統分析法和各種設計思維方法，確立了傢具展覽會展示設計的理論體系：一、本文首先從傢具展示設計的內涵與展覽會發展的背景入手，明確指出當代傢具展覽會展示設計的內涵與外延：是以傢具為信息載體，以高時效的信息傳遞和交易為根本宗旨的專業性的展示設計活動；是在特定空間內完成的、由特定人群參與的、系統的、多維的空間設計；是功能、技術工藝、藝術形象、文化內涵的完美結合，體現的是人類設計由簡單實用到實用之外蘊含有各種因素的人性化趨勢的必然選擇；是一種行之有效的傢具營銷方式和推動展覽業與傢具產業發展的有效途徑。Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified pcnn model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. secondly, pcnn is extended to pcnns, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification ; fin ally, based on the accumulative difference pictures, and the forming and transmission of pcnn wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction
首先結合pcnn的同步脈沖發放和側抑制特性，提出了基於改進型pcnn的圖像凹點檢測演算法，該演算法是一種自適應而有效的圖像凹點檢測方法，並且較好地模擬了人類視覺系統；然後，結合信息傳遞和信息耦合特性，將pcnn擴展成pcnns （ pcnn網路群） ，提出了一種基於pcnns的圖像融合演算法，能夠將多個傳感器獲取的同一目標的圖像信息融合到一幅圖像中，有效模擬了人類視覺系統；另外，結合pcnn的同步脈沖發放特性、捕獲特性和波的傳播競爭特性，開拓地將pcnn用於模式分類中，提出了基於耦合神經元點火捕獲抑制特性的分類方法和改進的約束距離下的pcnn分類方法，前者可實現對樣本空間中任意復雜分佈訓練樣本的穩健非線性分類，而後者能夠消除訓練樣本中刺點對分類的影響；最後，結合累積差分圖像思想、 pcnn波的形成與傳播特性，通過各神經元之間連接取向來選擇與控制自動波的流向，將pcnn用於運動視覺分析中的運動軌跡模擬及運動方向檢測。
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