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TKDE
2008
195views more  TKDE 2008»
15 years 6 months ago
Learning a Maximum Margin Subspace for Image Retrieval
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
Xiaofei He, Deng Cai, Jiawei Han
TKDE
2008
378views more  TKDE 2008»
15 years 6 months ago
Modeling Image Data for Effective Indexing and Retrieval in Large General Image Databases
In this paper, we propose an image semantic model based on the knowledge and criteria in the field of linguistics and taxonomy. Our work bridges the "semantic gap" by sea...
Xiaoyan Li, Lidan Shou, Gang Chen, Tianlei Hu, Jin...
TMC
2008
91views more  TMC 2008»
15 years 6 months ago
Dynamic Forwarding over Tree-on-DAG for Scalable Data Aggregation in Sensor Networks
Computing and maintaining network structures for efficient data aggregation incurs high overhead for dynamic events where the set of nodes sensing an event changes with time. Moreo...
Kai-Wei Fan, Sha Liu, Prasun Sinha
TNN
2008
97views more  TNN 2008»
15 years 6 months ago
Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm
Hard-margin support vector machines (HM-SVMs) suffer from getting overfitting in the presence of noise. Soft-margin SVMs deal with this problem by introducing a regularization term...
Liefeng Bo, Ling Wang, Licheng Jiao
154
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JEI
2007
90views more  JEI 2007»
15 years 6 months ago
Low-complexity high-performance multiscale error diffusion technique for digital halftoning
Multiscale error diffusion (MED) is superior to conventional error diffusion algorithms as it can eliminate directional hysteresis completely. However, due to its frame-oriented p...
Yik-Hing Fung, Ka-Chun Lui, Yuk-Hee Chan
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