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» A Kernel Method for the Two-Sample Problem
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CVPR
2008
IEEE
15 years 11 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
15 years 10 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
14 years 11 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»
14 years 11 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
14 years 11 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...