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JMLR
2012
11 years 9 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
SIAMIS
2011
13 years 2 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
DAC
2001
ACM
14 years 8 months ago
Dynamic Detection and Removal of Inactive Clauses in SAT with Application in Image Computation
In this paper, we present a new technique for the e cient dynamic detection and removal of inactive clauses, i.e. clauses that do not a ect the solutions of interest of a Boolean ...
Aarti Gupta, Anubhav Gupta, Zijiang Yang, Pranav A...
JNCA
2000
117views more  JNCA 2000»
13 years 7 months ago
Distributed network storage service with quality-of-service guarantees
This paper envisions a distributed network storage service with Quality-ofService (QoS) guarantees, and describes its architecture and key mechanisms. When fully realized, this se...
John Chung-I Chuang, Marvin A. Sirbu
DAC
1999
ACM
14 years 8 months ago
Engineering Change: Methodology and Applications to Behavioral and System Synthesis
Due to the unavoidable need for system debugging, performance tuning, and adaptation to new standards, the engineering change (EC) methodology has emerged as one of the crucial co...
Darko Kirovski, Miodrag Potkonjak