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» Learning to cluster using local neighborhood structure
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ICPR
2008
IEEE
15 years 4 months ago
Establishing point correspondence using multidirectional binary pattern for face recognition
This paper presents a new Multidirectional Binary Pattern (MBP) for face recognition. Different from most Local Binary Pattern (LBP) related approaches which cluster LBP occurrenc...
Sanqiang Zhao, Yongsheng Gao
ICDE
2012
IEEE
343views Database» more  ICDE 2012»
13 years 10 days ago
Bi-level Locality Sensitive Hashing for k-Nearest Neighbor Computation
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...
Jia Pan, Dinesh Manocha
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
15 years 4 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
ICCV
2007
IEEE
15 years 4 months ago
Contextual Distance for Data Perception
Structural perception of data plays a fundamental role in pattern analysis and machine learning. In this paper, we develop a new structural perception of data based on local conte...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
SBRN
2000
IEEE
15 years 2 months ago
An Evolutionary Immune Network for Data Clustering
This paper explores basic aspects of the immune system and proposes a novel immune network model with the main goals of clustering and filtering unlabeled numerical data sets. It ...
Leandro Nunes de Castro, Fernando J. Von Zuben