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92
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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
15 years 11 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
76
Voted
HPCA
2002
IEEE
15 years 11 months ago
A New Memory Monitoring Scheme for Memory-Aware Scheduling and Partitioning
We propose a low overhead, on-line memory monitoring scheme utilizing a set of novel hardware counters. The counters act like pressure gauges indicating the marginal gain in the n...
G. Edward Suh, Srinivas Devadas, Larry Rudolph
94
Voted
3DIM
2007
IEEE
15 years 11 months ago
Automatic Pose Estimation for Range Images on the GPU
Object pose (location and orientation) estimation is a common task in many computer vision applications. Although many methods exist, most algorithms need manual initialization ...
Marcel Germann, Michael D. Breitenstein, In Kyu Pa...
CVPR
2010
IEEE
15 years 7 months ago
Boundary Learning by Optimization with Topological Constraints
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
Viren Jain, Benjamin Bollmann, Bobby Kasthuri, Ken...
68
Voted
CVPR
2010
IEEE
15 years 7 months ago
Globally Optimal Pixel Labeling Algorithms for Tree Metrics
We consider pixel labeling problems where the label set forms a tree, and where the observations are also labels. Such problems arise in feature-space analysis with a very large...
Pedro Felzenszwalb, Gyula Pap, Eva Tardos, Ramin Z...