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ACCV
2009
Springer
15 years 9 months ago
Video Segmentation Using Iterated Graph Cuts Based on Spatio-temporal Volumes
Abstract. We present a novel approach to segmenting video using iterated graph cuts based on spatio-temporal volumes. We use the mean shift clustering algorithm to build the spatio...
Tomoyuki Nagahashi, Hironobu Fujiyoshi, Takeo Kana...
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
16 years 4 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
ICPR
2010
IEEE
15 years 2 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....

Publication
107views
16 years 1 months ago
RATC: A Robust Automated Tag Clustering Technique
Abstract. Nowadays, the most dominant and noteworthy web information sources are developed according to the collaborative-web paradigm, also known as Web 2.0. In particular, it rep...
Ludovico Boratto, Salvatore Carta, Eloisa Vargiu
CVPR
2009
IEEE
15 years 11 months ago
Trajectory parsing by cluster sampling in spatio-temporal graph
The objective of this paper is to parse object trajectories in surveillance video against occlusion, interruption, and background clutter. We present a spatio-temporal graph (ST-G...
Xiaobai Liu, Liang Lin, Song Chun Zhu, Hai Jin