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ICCV
2011
IEEE
12 years 10 months ago
Learning to Cluster Using High Order Graphical Models with Latent Variables
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
Nikos Komodakis
ISBI
2011
IEEE
13 years 1 months ago
Sparse Riemannian manifold clustering for HARDI segmentation
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...
Hasan Ertan Çetingül, René Vida...
ICCV
2011
IEEE
12 years 10 months ago
Exemplar Extraction using Spatio-Temporal Hierarchical Agglomerative Clustering for Face Recognition in Video
Many recent works have attempted to improve object recognition by exploiting temporal dynamics, an intrinsic property of video sequences. In this paper, a new spatiotemporal hiera...
John See, Chikkannan Eswaran
CORR
2011
Springer
214views Education» more  CORR 2011»
13 years 1 months ago
K-Median Clustering, Model-Based Compressive Sensing, and Sparse Recovery for Earth Mover Distance
We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A such that for any x, given A...
Piotr Indyk, Eric Price
HPDC
2011
IEEE
13 years 1 months ago
Wrangler: virtual cluster provisioning for the cloud
Cloud computing systems are becoming an important platform for science applications. Infrastructure as a Service (IaaS) clouds provide the capability to provision virtual machines...
Gideon Juve, Ewa Deelman