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ICML
2005
IEEE
16 years 7 months ago
Bayesian hierarchical clustering
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
Katherine A. Heller, Zoubin Ghahramani
CLUSTER
2009
IEEE
16 years 1 months ago
Analyzing massive astrophysical datasets: Can Pig/Hadoop or a relational DBMS help?
Abstract— As the datasets used to fuel modern scientific discovery grow increasingly large, they become increasingly difficult to manage using conventional software. Parallel d...
Sarah Loebman, Dylan Nunley, YongChul Kwon, Bill H...
ICCV
2005
IEEE
16 years 20 days ago
Learning Models for Predicting Recognition Performance
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
Rong Wang, Bir Bhanu
IEEEPACT
2000
IEEE
15 years 11 months ago
Exploring the Limits of Sub-Word Level Parallelism
Multimedia instruction set extensions have become a prominent feature in desktop microprocessor platforms, promising superior performance on a wide range of floating-point and int...
Kevin Scott, Jack W. Davidson
EMNETS
2007
15 years 11 months ago
Acoustic laptops as a research enabler
The Acoustic ENSBox [1] is an embedded platform which enables practical distributed acoustic sensing by providing integrated hardware and software support in a single platform. It...
Michael Allen, Lewis Girod, Deborah Estrin
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