Wei He

Hua Peng

Keli Hu

Jiatian Pi

Jun Je

Liping Zhao 

An online neutrosophic similarity-based objectness tracking with a weighted multiple instance learning algorithm (NeutWMIL) is proposed. Each training sample is extracted surrounding the object location, and the distribution of these samples is symmetric. To provide a more robust weight for each sample in the positive bag, the asymmetry of the importance of the samples is considered. The neutrosophic similarity-based objectness estimation with object properties (super straddling) is applied.

Online Visual Tracking ofWeighted Multiple Instance Learning via Neutrosophic Similarity-Based Objectness Estimation

Liping Zhao

Jun Ye

Wei Hu

This book presents the major research advances relating to Chinese Danxia landforms over the past 80 years. It covers geological setting, morphologic characteristics and evolution, biology and ecology, aesthetic value and earth science value, and briefly introduces the six heritage sites, enabling readers to gain a systematic understanding of Danxia landform theories and the China Danxia World Heritage sites.

China Danxia

Hua Peng

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