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» An ICA algorithm for analyzing multiple data sets
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APLAS
2009
ACM
15 years 9 months ago
Large Spurious Cycle in Global Static Analyses and Its Algorithmic Mitigation
We present a simple algorithmic extension of the classical call-strings approach to mitigate substantial performance degradation caused by spurious interprocedural cycles. Spuriou...
Hakjoo Oh
142
Voted
ICML
2010
IEEE
15 years 3 months ago
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multiarmed bandit problem, where the payoff function is ...
Niranjan Srinivas, Andreas Krause, Sham Kakade, Ma...
130
Voted
ECCV
2008
Springer
16 years 4 months ago
Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo
We propose an algorithm to improve the quality of depth-maps used for Multi-View Stereo (MVS). Many existing MVS techniques make use of a two stage approach which estimates depth-m...
Carlos Hernández, George Vogiatzis, Neill D...
141
Voted
ECML
2006
Springer
15 years 6 months ago
Multiple-Instance Learning Via Random Walk
This paper presents a decoupled two stage solution to the multiple-instance learning (MIL) problem. With a constructed affinity matrix to reflect the instance relations, a modified...
Dong Wang, Jianmin Li, Bo Zhang
139
Voted
BMCBI
2008
163views more  BMCBI 2008»
15 years 2 months ago
ProfileGrids as a new visual representation of large multiple sequence alignments: a case study of the RecA protein family
Background: Multiple sequence alignments are a fundamental tool for the comparative analysis of proteins and nucleic acids. However, large data sets are no longer manageable for v...
Alberto I. Roca, Albert E. Almada, Aaron C. Abajia...