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ECCV
2006
Springer
14 years 11 months ago
Scene Classification Via pLSA
Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised man...
Anna Bosch, Andrew Zisserman, Xavier Muñoz
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 9 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ETRA
2010
ACM
167views Biometrics» more  ETRA 2010»
14 years 3 months ago
Understanding the benefits of gaze enhanced visual search
In certain applications such as radiology and imagery analysis, it is important to minimize errors. In this paper we evaluate a structured inspection method that uses eye tracking...
Pernilla Qvarfordt, Jacob T. Biehl, Gene Golovchin...
ICDE
2012
IEEE
238views Database» more  ICDE 2012»
11 years 11 months ago
Mining Knowledge from Data: An Information Network Analysis Approach
Abstract—Most objects and data in the real world are interconnected, forming complex, heterogeneous but often semistructured information networks. However, many database research...
Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu
EUROSYS
2007
ACM
14 years 6 months ago
Dryad: distributed data-parallel programs from sequential building blocks
Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad application combines computational “vertices” with communication ...
Michael Isard, Mihai Budiu, Yuan Yu, Andrew Birrel...