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JMLR
2012
12 years 4 days 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...
CVPR
2007
IEEE
14 years 11 months ago
Multi-label image segmentation via max-sum solver
We formulate single-image multi-label segmentation into regions coherent in texture and color as a MAX-SUM problem for which efficient linear programming based solvers have recent...
Branislav Micusík, Tomás Pajdla
DAC
2008
ACM
14 years 10 months ago
MAPS: an integrated framework for MPSoC application parallelization
In the past few years, MPSoC has become the most popular solution for embedded computing. However, the challenge of programming MPSoCs also comes as the biggest side-effect of the...
Gerd Ascheid, Hanno Scharwächter, Heinrich Me...
HPCA
2003
IEEE
14 years 10 months ago
Deterministic Clock Gating for Microprocessor Power Reduction
With the scaling of technology and the need for higher performance and more functionality, power dissipation is becoming a major bottleneck for microprocessor designs. Pipeline ba...
Hai Li, Swarup Bhunia, Yiran Chen, T. N. Vijaykuma...
RECOMB
2004
Springer
14 years 10 months ago
Probabilistic discovery of overlapping cellular processes and their regulation
In this paper, we explore modeling overlapping biological processes. We discuss a probabilistic model of overlapping biological processes, gene membership in those processes, and ...
Alexis Battle, Eran Segal, Daphne Koller