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AAAI
2010
13 years 11 months ago
Multi-Instance Dimensionality Reduction
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
Yu-Yin Sun, Michael K. Ng, Zhi-Hua Zhou
BILDMED
2007
134views Algorithms» more  BILDMED 2007»
13 years 11 months ago
Generation of Hulls Encompassing Neuronal Pathways Based on Tetrahedralization and 3D Alpha Shapes
Abstract. Diffusion tensor imaging provides information about structure and location of white matter tracts within the human brain which is of particular interest for neurosurgery...
Dorit Merhof, Martin Meister, Ezgi Bingöl, Pe...
CIDR
2007
111views Algorithms» more  CIDR 2007»
13 years 11 months ago
Moirae: History-Enhanced Monitoring
In this paper, we investigate the benefits and challenges of integrating history into a near-real-time monitoring system; and present a general purpose continuous monitoring engi...
Magdalena Balazinska, YongChul Kwon, Nathan Kuchta...
CIMAGING
2008
172views Hardware» more  CIMAGING 2008»
13 years 11 months ago
A generalization of non-local means via kernel regression
The Non-Local Means (NLM) method of denoising has received considerable attention in the image processing community due to its performance, despite its simplicity. In this paper, ...
Priyam Chatterjee, Peyman Milanfar
IPCO
2010
148views Optimization» more  IPCO 2010»
13 years 11 months ago
Prize-Collecting Steiner Network Problems
In the Steiner Network problem we are given a graph with edge-costs and connectivity requirements between node pairs , . The goal is to find a minimum-cost subgraph of that contain...
MohammadTaghi Hajiaghayi, Rohit Khandekar, Guy Kor...
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