LatentSVM論文
The object detector described below has been initially proposed by P.F. Felzenszwalb in [Felzenszwalb2010]. It is based on a Dalal-Triggs detector th...
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查看全部35個資源 ?Bi-density twin support vector machines
In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, B...
LTE-Advanced+DRX+Mechanism
Today, our everyday life is almost impossible to detach from the influence of wireless mobile communication technologies. This global trend is growing...
Value+Driven+Product+Planning+and+Systems
The “bottom-line” metrics of cash flow, demand, price, and return on investment are driven by a second set of financial metrics represented by value t...
基于模型—數(shù)據(jù)融合的中國區(qū)域碳水通量動態(tài)模擬及分析
準(zhǔn)確量化和預(yù)測陸地生態(tài)系統(tǒng)碳水通量對于理解陸氣間相互作用，預(yù)測未來氣候變化和控制溫室效應(yīng)具有重要意義。通量觀測和模型模擬是目前研究碳水通量的兩種主要方法。通量觀測精度較高，但觀測范圍局限、站點(diǎn)分布不均勻，易受環(huán)境影響，難以區(qū)域擴(kuò)展；模型模擬可實(shí)現(xiàn)不同尺度參量估算，但由于理想化假設(shè)、模型參數(shù)和驅(qū)動數(shù)據(jù)...
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