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» A Kernel Method for the Two-Sample Problem
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CVPR
2008
IEEE
14 years 7 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
ASPLOS
2009
ACM
14 years 6 months ago
ASSURE: automatic software self-healing using rescue points
Software failures in server applications are a significant problem for preserving system availability. We present ASSURE, a system that introduces rescue points that recover softw...
Stelios Sidiroglou, Oren Laadan, Carlos Perez, Nic...
USENIX
2008
13 years 7 months ago
Prefetching with Adaptive Cache Culling for Striped Disk Arrays
Conventional prefetching schemes regard prediction accuracy as important because useless data prefetched by a faulty prediction may pollute the cache. If prefetching requires cons...
Sung Hoon Baek, Kyu Ho Park
CIVR
2008
Springer
245views Image Analysis» more  CIVR 2008»
13 years 7 months ago
Probabilistic optimized ranking for multimedia semantic concept detection via RVM
We present a probabilistic ranking-driven classifier for the detection of video semantic concept, such as airplane, building, etc. Most existing concept detection systems utilize ...
Yantao Zheng, Shi-Yong Neo, Tat-Seng Chua, Qi Tian
ACSW
2006
13 years 6 months ago
Catching spam before it arrives: domain specific dynamic blacklists
1 The arrival of any piece of unsolicited and unwanted email (spam) into a user's email inbox is a problem. It results in real costs to organisations and possibly an increasin...
Duncan Cook, Jacky Hartnett, Kevin Manderson, Joel...