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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
14 years 10 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
13 years 11 months ago
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles
SISAP
2009
IEEE
155views Data Mining» more  SISAP 2009»
14 years 6 days ago
Analyzing Metric Space Indexes: What For?
—It has been a long way since the beginnings of metric space searching, where people coming from algorithmics tried to apply their background to this new paradigm, obtaining vari...
Gonzalo Navarro
ACCV
2010
Springer
13 years 1 months ago
Stream-based Active Unusual Event Detection
We present a new active learning approach to incorporate human feedback for on-line unusual event detection. In contrast to most existing unsupervised methods that perform passiv...
Chen Change Loy, Tao Xiang, Shaogang Gong