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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
VLSID
2007
IEEE
154views VLSI» more  VLSID 2007»
14 years 10 months ago
Application Specific Datapath Extension with Distributed I/O Functional Units
Performance of an application can be improved through augmenting the processor with Application specific Functional Units (AFUs). Usually a cluster of operations identified from th...
Nagaraju Pothineni, Anshul Kumar, Kolin Paul
MM
2010
ACM
137views Multimedia» more  MM 2010»
13 years 10 months ago
Unsupervised summarization of rushes videos
This paper proposes a new framework to formulate the problem of rushes video summarization as an unsupervised learning problem. We pose the problem of video summarization as one o...
Yang Liu, Feng Zhou, Wei Liu, Fernando De la Torre...
BIBE
2008
IEEE
160views Bioinformatics» more  BIBE 2008»
14 years 4 months ago
Parallel integration of heterogeneous genome-wide data sources
— Heterogeneous genome-wide data sources capture information on various aspects of complex biological systems. For instance, transcriptome, interactome and phenome-level informat...
Derek Greene, Kenneth Bryan, Padraig Cunningham
JWSR
2007
172views more  JWSR 2007»
13 years 9 months ago
Service Class Driven Dynamic Data Source Discovery with DynaBot
: Dynamic Web data sources – sometimes known collectively as the Deep Web – increase the utility of the Web by providing intuitive access to data repositories anywhere that Web...
Daniel Rocco, James Caverlee, Ling Liu, Terence Cr...