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» A Novel Framework for Discovering Robust Cluster Results
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ICCV
2007
IEEE
14 years 10 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
ECCV
2010
Springer
14 years 23 days ago
Closed-loop Adaptation for Robust Tracking
Model updating is a critical problem in tracking. Inaccurate extraction of the foreground and background information in model adaptation would cause the model to drift and degrade ...
DKE
2006
126views more  DKE 2006»
13 years 8 months ago
FRACTURE mining: Mining frequently and concurrently mutating structures from historical XML documents
In the past few years, the fast proliferation of available XML documents has stimulated a great deal of interest in discovering hidden and nontrivial knowledge from XML repositori...
Ling Chen 0002, Sourav S. Bhowmick, Liang-Tien Chi...
PAMI
2012
11 years 11 months ago
Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
Hanzi Wang, Tat-Jun Chin, David Suter
VRST
2009
ACM
14 years 3 months ago
Indexing and retrieval of human motion data by a hierarchical tree
For the convenient reuse of large-scale 3D motion capture data, browsing and searching methods for the data should be explored. In this paper, an efficient indexing and retrieval...
Shuangyuan Wu, Zhaoqi Wang, Shihong Xia