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» Making inferences with small numbers of training sets
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ICDE
2010
IEEE
219views Database» more  ICDE 2010»
15 years 11 months ago
PIP: A Database System for Great and Small Expectations
Estimation via sampling out of highly selective join queries is well known to be problematic, most notably in online aggregation. Without goal-directed sampling strategies, samples...
Oliver Kennedy, Christoph Koch
SIGIR
2012
ACM
13 years 2 months ago
Inferring missing relevance judgments from crowd workers via probabilistic matrix factorization
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...
Hyun Joon Jung, Matthew Lease
BMCBI
2005
122views more  BMCBI 2005»
14 years 11 months ago
A neural strategy for the inference of SH3 domain-peptide interaction specificity
Background: The SH3 domain family is one of the most representative and widely studied cases of so-called Peptide Recognition Modules (PRM). The polyproline II motif PxxP that gen...
Enrico Ferraro, Allegra Via, Gabriele Ausiello, Ma...
ICCV
2011
IEEE
13 years 11 months ago
Parsing Video Events with Goal inference and Intent Prediction
In this paper, we present an event parsing algorithm based on Stochastic Context Sensitive Grammar (SCSG) for understanding events, inferring the goal of agents, and predicting th...
Mingtao Pei, School of Computer Science, Yunde Jia...
IJCV
2006
266views more  IJCV 2006»
14 years 11 months ago
Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation
In this paper, we make two contributions to the field of level set based image segmentation. Firstly, we propose shape dissimilarity measures on the space of level set functions wh...
Daniel Cremers, Stanley Osher, Stefano Soatto