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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 6 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
HPCA
2002
IEEE
16 years 6 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
3DIM
2007
IEEE
16 years 6 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
16 years 2 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...
137
Voted
CVPR
2010
IEEE
16 years 2 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...