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ICPR
2010
IEEE
13 years 5 months ago
User Adaptive Clustering for Large Image Databases
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....
ICPR
2008
IEEE
14 years 2 months ago
Dual clustering for categorization of action sequences
This paper proposes a novel algorithm for categorization of action video sequences using unsupervised dual clustering. Given a video database, we extract motion information of act...
Joanna Cheng, Liang Wang, Christopher Leckie
CVPR
2007
IEEE
14 years 9 months ago
A Face Annotation Framework with Partial Clustering and Interactive Labeling
Face annotation technology is important for a photo management system. In this paper, we propose a novel interactive face annotation framework combining unsupervised and interacti...
Yuandong Tian, Wei Liu, Rong Xiao, Fang Wen, Xiaoo...
PERCOM
2009
ACM
14 years 8 months ago
High Accuracy Context Recovery using Clustering Mechanisms
This paper examines the recovery of user context in indoor environments with existing wireless infrastructures to enable assistive systems. We present a novel approach to the extra...
Dinh Q. Phung, Brett Adams, Kha Tran, Svetha Venka...
PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
14 years 2 months ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...