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PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
16 years 4 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
ICCAD
2002
IEEE
113views Hardware» more  ICCAD 2002»
16 years 4 months ago
INDUCTWISE: inductance-wise interconnect simulator and extractor
Abstract—A robust, efficient, and accurate inductance extraction and simulation tool, INDUCTWISE, is developed and described in this paper. This work advances the state-of-the-ar...
Tsung-Hao Chen, Clement Luk, Hyungsuk Kim, Charlie...
SOSP
2007
ACM
16 years 4 months ago
Improving file system reliability with I/O shepherding
We introduce a new reliability infrastructure for file systems called I/O shepherding. I/O shepherding allows a file system developer to craft nuanced reliability policies to de...
Haryadi S. Gunawi, Vijayan Prabhakaran, Swetha Kri...
233
Voted
CVPR
2010
IEEE
16 years 3 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
208
Voted
ISPD
2010
ACM
207views Hardware» more  ISPD 2010»
16 years 2 months ago
FOARS: FLUTE based obstacle-avoiding rectilinear steiner tree construction
Obstacle-avoiding rectilinear Steiner minimal tree (OARSMT) construction is becoming one of the most sought after problems in modern design flow. In this paper we present FOARS, ...
Gaurav Ajwani, Chris Chu, Wai-Kei Mak