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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
15 years 10 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
ICIP
2009
IEEE
14 years 7 months ago
Component-based image coding using non-local means filtering and an autoregressive texture model
While noise is usually regarded as a problem of the image formation process, we observe that it is also frequently part of natural texture. In this paper, we present a concept for...
Johannes Ballé, Bastian Jurczyk, Aleksandar...
ECML
2006
Springer
15 years 1 months ago
A Selective Sampling Strategy for Label Ranking
Abstract. We propose a novel active learning strategy based on the compression framework of [9] for label ranking functions which, given an input instance, predict a total order ov...
Massih-Reza Amini, Nicolas Usunier, Françoi...
DATE
2009
IEEE
87views Hardware» more  DATE 2009»
15 years 4 months ago
Efficient compression and handling of current source model library waveforms
—This paper describes a waveform compression technique suitable for the efficient utilization, storage and interchange of the emerging current source model (CSM) based cell libra...
Safar Hatami, Peter Feldmann, Soroush Abbaspour, M...
WMPI
2004
ACM
15 years 3 months ago
An analytical model for software-only main memory compression
Abstract. Many applications with large data spaces that cannot run on a typical workstation (due to page faults) call for techniques to expand the effective memory size. One such t...
Irina Chihaia, Thomas R. Gross